Dynamic bandwidth adjustment for browsing or streaming activity in a wireless network based on prediction of user behavior when interacting with mobile applications

ABSTRACT

System and method of dynamic bandwidth adjustment for browsing or streaming activity in a wireless network based on prediction of user behavior when interacting with mobile applications are disclosed. One embodiment includes mobile device which throttles radio use based on user habit. The mobile device is able to throttle the radio between high and lowered power states based on the user habit of a user using the mobile device in mobile usage sessions relating to, for example, browsing activity or content streaming activity, where, the radio can be throttled among three power states when connected to a 3G wireless network or throttled among two power states when connected to a 4G or LTE network/pre-LTE.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of PCT Patent Application No.PCT/US13/27694 entitled “DYNAMIC ADJUSTMENT OF BANDWIDTH BASED ONPREDICTION OF USER BEHAVIOR WHEN INTERACTING WITH MOBILE APPLICATIONSSUCH AS DYNAMIC ADJUSTMENT FOR BROWSING OR STREAMING ACTIVITIES” whichwas filed on Feb. 25, 2013, which claims the benefit of U.S. ProvisionalPatent Application No. 61/671,544 entitled “DYNAMIC ADJUSTMENT OFBANDWIDTH BASED ON PREDICTION OF USER BEHAVIOR WHEN INTERACTING WITHMOBILE APPLICATIONS SUCH AS DYNAMIC ADJUSTMENT FOR BROWSING OR STREAMINGACTIVITIES,” which was filed on Jul. 13, 2012, the contents of which areall incorporated by reference herein.

BACKGROUND

Network operators/carriers have the will and the resources to fix thewireless network overload problem. However, the increased availabilityof free applications only makes network congestion worse with constantsignaling from the application to the application stores and/orwebsites. In addition to Wi-Fi and other bandwidth-adding technologies,carriers and applications developers will need to work to make apps moreefficient to maximize the full value of Wi-Fi and others.

Furthermore, consumers are enjoying a greater selection of freeapplications, users will be hard pressed to fully enjoy the applicationsdue to increased traffic on the wireless network. This will result inexcess data transfer and shortening the already problematic battery lifeof mobile devices such as super phones, smartphones, tablets, phablets,laptops, and other wireless devices/clients. This will increase pressureon carriers to deploy traffic management solutions that enable them tomaintain their good level quality of experience.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A-1 illustrates a diagram showing example user profiles related tobrowsing and streaming habits for optimization content and data deliveryin a wireless network to conserve network and device resources.

FIG. 1A-2 illustrates a diagram showing example user profiles foroptimization content and data delivery in a wireless network to conservenetwork and device resources.

FIG. 1B illustrates an example diagram of a system where a host serverfacilitates management of traffic, content caching, and/or resourceconservation between mobile devices (e.g., wireless devices), anapplication server or content provider, or other servers such as an adserver, promotional content server, or an e-coupon server in a wirelessnetwork (or broadband network) for resource conservation. The hostserver can further categorize mobile traffic and/or implement deliverypolicies based on application behavior, content priority, user activity,user expectations, and/or detected or anticipated browsing and/orstreaming activities.

FIG. 1C illustrates an example diagram of a proxy and cache systemdistributed between the host server and device which facilitates networktraffic management between a device, an application server or contentprovider, or other servers such as an ad server, promotional contentserver, or an e-coupon server for resource conservation and contentcaching.

FIG. 1D illustrates an example diagram of the logical architecture of adistributed proxy and cache system.

FIG. 1E illustrates an example diagram showing the architecture ofclient side components in a distributed proxy and cache system.

FIG. 1F illustrates a diagram of the example components on the serverside of the distributed proxy and cache system.

FIG. 2A depicts a block diagram illustrating another example ofclient-side components in a distributed proxy and cache system, furtherincluding a user-based content delivery optimization engine forimplementing or facilitating dynamic bandwidth adjustment or allocationbased on user behavior detection or anticipation such as adjustmentsthat can be made for browsing versus streaming activities.

FIG. 2B depicts a block diagram illustrating additional components inthe user-based content delivery optimization engine shown in the exampleof FIG. 2A.

FIG. 3A depicts a block diagram illustrating an example of server-sidecomponents in a distributed proxy and cache system, further including auser-based content delivery optimization engine for implementing orfacilitating dynamic bandwidth adjustment or allocation based on userbehavior detection or anticipation such as adjustments that can be madefor browsing versus streaming activities.

FIG. 3B depicts a block diagram illustrating additional components inthe user-based content delivery optimization engine shown in the exampleof FIG. 3A.

FIG. 4A depicts a block diagram illustrating an example of client-sidecomponents in a distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation)residing on a mobile device (e.g., wireless device) that manages trafficin a wireless network (or broadband network) for resource conservation,content caching, and/or traffic management. The client-side proxy (orlocal proxy) can further categorize mobile traffic and/or implementdelivery policies based on application behavior, content priority, useractivity, and/or user expectations. The client-side components canfurther facilitate using a user as an end point for profiling andoptimizing the delivery of content and data in a wireless network.

FIG. 4B depicts a block diagram illustrating a further example ofcomponents in the cache system shown in the example of FIG. 4A which iscapable of caching and adapting caching strategies for mobileapplication behavior and/or network conditions. Components capable ofdetecting long poll requests and managing caching of long polls are alsoillustrated.

FIG. 4C depicts a block diagram illustrating examples of additionalcomponents in the local cache shown in the example of FIG. 4A which isfurther capable of performing mobile traffic categorization and policyimplementation based on application behavior and/or user activity.

FIG. 5A depicts a block diagram illustrating an example of server-sidecomponents in a distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) thatmanages traffic in a wireless network (or broadband network) forresource conservation, content caching, and/or traffic management. Theserver-side proxy (or proxy server) can further categorize mobiletraffic and/or implement delivery policies based on applicationbehavior, content priority, user activity, and/or user expectations. Theproxy server can also facilitate using a user as an end point forprofiling and optimizing the delivery of content and data in a wirelessnetwork.

FIG. 5B depicts a block diagram illustrating a further example ofcomponents in the caching policy manager in the cache system shown inthe example of FIG. 3A which is capable of caching and adapting cachingstrategies for mobile application behavior and/or network conditions.Components capable of detecting long poll requests and managing cachingof long polls are also illustrated.

FIG. 5C depicts a block diagram illustrating examples of additionalcomponents in proxy server shown in the example of FIG. 5C which isfurther capable of performing mobile traffic categorization and policyimplementation based on application behavior and/or traffic priority.

FIG. 6A depicts a flow diagram illustrating an example process fordistributed content caching between a mobile device (e.g., any wirelessdevice) and remote proxy and the distributed management of contentcaching.

FIG. 6B depicts a timing diagram showing how data requests from a mobiledevice (e.g., any wireless device) to an application server/contentprovider in a wireless network (or broadband network) can be coordinatedby a distributed proxy system in a manner such that network and batteryresources are conserved through using content caching and monitoringperformed by the distributed proxy system.

FIG. 7 depicts a table showing examples of different traffic orapplication category types which can be used in implementing networkaccess and content delivery policies.

FIG. 8 depicts a table showing examples of different content categorytypes which can be used in implementing network access and contentdelivery policies.

FIG. 9 depicts an interaction diagram showing how polls having datarequests from a mobile device (e.g., any wireless device) to anapplication server/content provider over a wireless network (orbroadband network) can be can be cached on the local proxy and managedby the distributed caching system.

FIG. 10A illustrates a flow chart showing an example flow for userbehavior with respect to mobile usage relating to browsing activity orcontent streaming activity based resource allocation in a wirelessnetwork.

FIG. 10B illustrates a flow chart showing an example flow for contentconsumption based resource allocation to a user in a wireless networkrelating to browsing activity or content streaming activity.

FIG. 10C illustrates a flow chart showing examples of statisticsaggregated or computed for content consumption in mobile usage sessionsrelating to browsing activity or content streaming activity in awireless network.

FIG. 11 depicts a flow chart illustrating an example process forcollecting information about a request and the associated response toidentify cacheability and caching the response.

FIG. 12 depicts a flow chart illustrating an example process showingdecision flows to determine whether a response to a request can becached.

FIG. 13 depicts a flow chart illustrating an example process fordetermining potential for cacheability based on request periodicityand/or response repeatability.

FIG. 14 depicts a flow chart illustrating an example process fordynamically adjusting caching parameters for a given request or client.

FIG. 15 depicts a flow chart illustrating example processes forapplication and/or traffic (data) categorization while factoring in useractivity and expectations for implementation of network access andcontent delivery policies.

FIG. 16A depicts a flow chart illustrating example processes forhandling traffic which is to be suppressed at least temporarilydetermined from application/traffic categorization.

FIG. 16B depicts a flow chart illustrating an example process forselection of a network configuration for use in sending traffic based onapplication and/or traffic (data) categorization.

FIG. 16C depicts a flow chart illustrating an example process forimplementing network access and content delivery policies based onapplication and/or traffic (data) categorization.

FIG. 17 depicts a flow chart illustrating an example process for networkselection based on mobile user activity or user expectations.

FIG. 18 shows a diagrammatic representation of a machine in the exampleform of a computer system within which a set of instructions, forcausing the machine to perform any one or more of the methodologiesdiscussed herein, may be executed.

DETAILED DESCRIPTION

The following description and drawings are illustrative and are not tobe construed as limiting. Numerous specific details are described toprovide a thorough understanding of the disclosure. However, in certaininstances, well-known or conventional details are not described in orderto avoid obscuring the description. References to “one embodiment” or“an embodiment” in the present disclosure can be, but not necessarilyare, references to the same embodiment and such references mean at leastone of the embodiments.

Reference in this specification to “one embodiment” or “an embodiment”means that a particular feature, structure, or characteristic describedin connection with the embodiment is included in at least one embodimentof the disclosure. The appearances of the phrase “in one embodiment” invarious places in the specification are not necessarily all referring tothe same embodiment, nor are separate or alternative embodimentsmutually exclusive of other embodiments. Moreover, various features aredescribed which may be exhibited by some embodiments and not by others.Similarly, various requirements are described which may be requirementsfor some embodiments but not other embodiments.

The terms used in this specification generally have their ordinarymeanings in the art, within the context of the disclosure, and in thespecific context where each term is used. Certain terms that are used todescribe the disclosure are discussed below, or elsewhere in thespecification, to provide additional guidance to the practitionerregarding the description of the disclosure. For convenience, certainterms may be highlighted, for example using italics and/or quotationmarks. The use of highlighting has no influence on the scope and meaningof a term; the scope and meaning of a term is the same, in the samecontext, whether or not it is highlighted. It will be appreciated thatsame thing can be said in more than one way.

Consequently, alternative language and synonyms may be used for any oneor more of the terms discussed herein, nor is any special significanceto be placed upon whether or not a term is elaborated or discussedherein. Synonyms for certain terms are provided. A recital of one ormore synonyms does not exclude the use of other synonyms. The use ofexamples anywhere in this specification, including examples of any termsdiscussed herein, is illustrative only, and is not intended to furtherlimit the scope and meaning of the disclosure or of any exemplifiedterm. Likewise, the disclosure is not limited to various embodimentsgiven in this specification.

Without intent to limit the scope of the disclosure, examples ofinstruments, apparatus, methods and their related results according tothe embodiments of the present disclosure are given below. Note thattitles or subtitles may be used in the examples for convenience of areader, which in no way should limit the scope of the disclosure. Unlessotherwise defined, all technical and scientific terms used herein havethe same meaning as commonly understood by one of ordinary skill in theart to which this disclosure pertains. In the case of conflict, thepresent document, including definitions, will control.

Embodiments of the present disclosure include systems and methods fordynamic bandwidth adjustment for browsing or streaming activity in awireless network based on prediction of user behavior when interactingwith mobile applications.

There are multiple factors that contribute to the proliferation of data:the end-user, mobile devices, wireless devices, mobile applications, andthe network. As mobile devices evolve, so do the various elementsassociated with them-availability, applications, user behavior, locationthus changing the way the network interacts with the device and theapplication.

The disclosed technology provides a comprehensive and end-to-endsolution that is able to address each element for operators and devicesmanufacturers to support both the shift in mobile or wireless devicesand the surge in data by leveraging the premise that mobile content hasa definable or relevant “freshness” value. The “freshness” of mobilecontent can be determined, either with certainty, or with someheuristics having a tolerance within which the user experience isenhanced, or not negatively impacted, or negatively impacted but iseither not perceptible to the user or within a tolerable thresholdlevel.

The disclosed innovation transparently determines such “freshness” bymonitoring, analyzing, and applying rules (which may be heuristicallydetermined) the transactions (requests/responses) between applications(e.g., mobile applications) and the peers (corresponding server or otherclients). Moreover, the technology is further able to effectively cachecontent which may be marked by its originating/host server as being“non-cacheable” and identify some “freshness” value which can then beused in implementing application-specific caching. In general, the“freshness” value has an approximate minimum value which is typicallydetermined using the update interval (e.g., interval with which requestsare sent) between the application and its corresponding server/host.

One embodiment of the disclosed technology includes a system thatoptimizes multiple aspects of the connection with wired and wirelessnetworks and devices through a comprehensive view of device andapplication activity including: loading, current application needs on adevice, controlling the type of access (push vs. pull or hybrid),location, concentration of users in a single area, time of day, howoften the user interacts with the application, content or device, andusing this information to shape traffic to a cooperative client/serveror simultaneously mobile devices without a cooperative client. Becausethe disclosed server is not tied to any specific network provider it hasvisibility into the network performance across all service providers.This enables optimizations to be applied to devices regardless of theoperator or service provider, thereby enhancing the user experience andmanaging network utilization while roaming. Bandwidth has beenconsidered a major issue in wireless networks today. More and moreresearch has been done related to the need for additional bandwidth tosolve access problems.

Many of the performance enhancing solutions and next generationstandards, such as those commonly referred to as 3.5G, HSPA+ (Evolvedhigh-speed packet access), LTE, 4G, and WiMAX, are focused on providingincreased bandwidth. Although partially addressed by the standards, akey problem that remains is lack of bandwidth on the signaling channelmore so than the data channel and the standard does not address batterylife very well.

Embodiments of the disclosed technology includes, for example, alignmentof requests from multiple applications to minimize the need for severalpolling requests; leverage specific content types to determine how toproxy/manage a connection/content; and applying specific heuristicsassociated with device, user behavioral patterns (how often theyinteract with the device/application) and/or network parameters.

Embodiments of the present technology can further include, movingrecurring HTTP polls performed by various widgets, RSS readers, etc., toremote network node (e.g., Network Operation Center (NOC)), thusconsiderably lowering device battery/power consumption, radio channelsignaling and bandwidth usage. Additionally, the offloading can beperformed transparently so that existing applications do not need to bechanged.

In some embodiments, this can be implemented using a local proxy on themobile device (e.g., any wireless device) which automatically detectsrecurring requests for the same content (RSS feed, Widget data set) thatmatches a specific rule (e.g., happens every 15 minutes). The localproxy can automatically cache the content on the mobile device whiledelegating the polling to the server (e.g., a proxy server operated asan element of a communications network). The server can then notify themobile/client proxy if the content changes, and if content has notchanged (or not changed sufficiently, or in an identified manner oramount) the mobile proxy provides the latest version in its cache to theuser (without need to utilize the radio at all). This way the mobile orwireless device (e.g., a mobile phone, smart phone, tablet, phablet, M2Mmodule/MODEM, or any other wireless devices, etc.) does not need to open(e.g., thus powering on the radio) or use a data connection if therequest is for content that is monitored and that has been not flaggedas new/changed.

The logic for automatically adding content sources/application servers(e.g., including URLs/content) to be monitored can also check forvarious factors like how often the content is the same, how often thesame request is made (is there a fixed interval/pattern?), whichapplication is requesting the data, etc. Similar rules to decide betweenusing the cache and request the data from the original source may alsobe implemented and executed by the local proxy and/or server.

For example, when the request comes at an unscheduled/unexpected time(user initiated check), or after every (n) consecutive times theresponse has been provided from the cache, etc., or if the applicationis running in the background vs. in a more interactive mode of theforeground. As more and more mobile applications or wireless enabledapplications base their features on resources available in the network,this becomes increasingly important. In addition, the disclosedtechnology allows elimination of unnecessary chatter from the network,benefiting the operators trying to optimize the wireless spectrum usage.

Traffic Categorization and Policy

In some embodiments, the disclosed proxy system is able to establishpolicies for choosing traffic (data, content, messages, updates, etc.)to cache and/or shape. Additionally, by combining information fromobserving the application making the network requests, getting explicitinformation from the application, or knowing the network destination theapplication is reaching, the disclosed technology can determine or inferwhat category the transmitted traffic belongs to.

For example, in one embodiment, mobile or wireless traffic can becategorized as: (a1) interactive traffic or (a2) background traffic. Thedifference is that in (a1) a user is actively waiting for a response,while in (2) a user is not expecting a response. This categorization canbe used in conjunction with or in lieu of a second type ofcategorization of traffic: (b1) immediate, (b2) low priority, (b3)immediate if the requesting application is in the foreground and active.

For example, a new update, message or email may be in the (b1) categoryto be delivered immediately, but it still is (a2) background traffic—auser is not actively waiting for it. A similar categorization applies toinstant messages when they come outside of an active chat session.During an active chat session a user is expecting a response faster.Such user expectations are determined or inferred and factored into whenoptimizing network use and device resources in performing trafficcategorization and policy implementation.

Some examples of the applications of the described categorizationscheme, include the following: (a1) interactive traffic can becategorized as (b1) immediate—but (a2) background traffic may also be(b2) or (b3). An example of a low priority transfer is email or messagemaintenance transaction such as deleting email or other messages ormarking email as read at the mail or application server. Such a transfercan typically occur at the earlier of (a) timer exceeding a timeoutvalue (for example, 2 minutes), and (b) data being sent for otherpurposes.

An example of (b3) is IM presence updates, stock ticker updates, weatherupdates, status updates, news feeds. When the UI of the application isin the foreground and/or active (for example, as indicated by thebacklight of the device/phone being lit or as determined or inferredfrom the status of other sensors), updates can be considered immediatewhenever server has something to push to the device. When theapplication is not in the foreground or not active, such updates can besuppressed until the application comes to foreground and is active.

With some embodiments, networks can be selected or optimizedsimultaneously for (a1) interactive traffic and (a2) background traffic.

In some embodiments, as the wireless device or mobile device proxy(separately or in conjunction with the server proxy) is able tocategorize the traffic as (for example) (a1) interactive traffic or (a2)background traffic, it can apply different policies to different typesof traffic. This means that it can internally operate differently for(a1) and (a2) traffic (for example, by allowing interactive traffic togo through to the network in whole or in part, and apply strictertraffic control to background traffic; or the device side only allows arequest to activate the radio if it has received information from theserver that the content at the host has been updated, etc.).

When the request does require access over the wireless network, thedisclosed technology can request the radio layer to apply differentnetwork configurations to different traffic. Depending on the type oftraffic and network this may be achieved by different means:

(1) Using 3G/4G for (a1) and 2G/2.5G for (a2);

(2) Explicitly specifying network configuration for different data sets(e.g. in terms of use of FACH (forward access channel) vs. DCH(dedicated channel), or otherwise requesting lower/more networkefficient data rates for background traffic); or

(3) Utilizing different network access points for different data sets(access points which would be configured to use network resourcesdifferently similar to (1) and (2) above).

Additionally, 3GPP Fast Dormancy calls for improvements so thatapplications, operating systems or the mobile device would haveawareness of the traffic type to be more efficient in the future.Embodiments of the disclosed system, having the knowledge of the trafficcategory and being able to utilize Fast Dormancy appropriately may solvethe problem identified in Fast Dormancy. This way the mobile orbroadband network does not need to be configured with a compromisedconfiguration that adversely impacts both battery consumption andnetwork signaling resources.

Polling Schedule

Detecting (or determining) a polling schedule allows the proxy server(server-side of the distributed cache system) to be as close as possiblewith its polls to the application polls. Many applications employscheduled interval polling (e.g., every 4 hours or every 30 seconds, atanother time interval). The client side proxy can detect automatic pollsbased on time measurements and create a automatic polling profile for anapplication. As an example, the local proxy attempts to detect the timeinterval between requests and after 2, 3, 4, or more polls, determinesan automatic rate if the time intervals are all within 1 second (oranother measure of relative closeness) of each other. If not, the clientmay collect data from a greater number of polling events (e.g., 10-12polls) and apply a statistical analysis to determine, compute, orestimate a value for the average interval that is used. The pollingprofile is delivered to the server where it is used. If it is a frequentmanual request, the locally proxy can substitute it with a defaultinterval for this application taken from a profile for non-criticalapplications.

In some embodiments, the local proxy (e.g., device side proxy) may keepmonitoring the application/client polls and update the polling interval.If it changes by more than 30% (or anotherpredetermined/dynamic/conditional value) from the current value, it iscommunicated to the proxy server (e.g., server-side proxy). Thisapproach can be referred to as the scenario of “lost interest.” In someinstances, the local proxy can recognize requests made outside of thisschedule, consider them “manual,” and treat them accordingly.

Application Classes/Modes of Caching

In some embodiments, applications can be organized into three groups ormodes of caching. Each mobile client/application can be categorized tobe treated as one of these modes, or treated using multiple modes,depending on one or more conditions.

A) Fully cached—local proxy updates (e.g., sends application requestsdirectly over the network to be serviced by the applicationserver/content host) only when the proxy server tells the local proxy toupdate. In this mode, the local proxy can ignore manual requests and theproxy server uses the detected automatic profile (e.g., sports scoreapplets, Facebook, every 10, 15, 30, or more polls) to poll theapplication server/content provider.

B) Partially cached—the local proxy uses the local or internal cache forautomatic requests (e.g., application automatic refreshes), otherscheduled requests but passes through some manual requests (e.g., emaildownload, Ebay or some Facebook requests); and

C) Never cached (e.g., real-time stock ticker, sports scores/statuses;however, in some instances, 15 minutes delayed quotes can be safelyplaced on 30 seconds schedules—B or even A).

The actual application or caching mode classification can be determinedbased on the rate of content change and critical character of data.Unclassified applications by default can be set as class C.

Backlight and Active Applications

In some embodiments, the local proxy starts by detecting the devicebacklight status. Requests made with the screen light ‘off’ can beallowed to use the local cache if a request with identical signature isregistered with the proxy server, which is polling the original hostserver/content server(s) to which the requests are directed. If thescreen light is ‘on’, further detection can be made to determine whetherit is a background application or for other indicators that local cacheentries can or cannot be used to satisfy the request. When identified,the requests for which local entries can be used may be processedidentically to the screen light off situation. Foreground requests canuse the aforementioned application classification to assess when cacheddata is safe to use to process requests.

FIG. 1A-1 illustrates a diagram showing example user profiles 180related to browsing and streaming habits for optimization content anddata delivery in a wireless network to conserve network and deviceresources.

The user profiles list the different users 181 and the trackedbrowser/browser type/sites or streaming applications/streaming sites orcontent types 182. In addition, user behavior/habits 183 can be trackedfor different browser/browser type/sites or streamingapplications/streaming sites or content types 182. The applicable timingparameters 184 may be associated with the tracked behavior/habit 183.

FIG. 1A-2 illustrates a diagram 190 showing example user profiles foroptimization content and data delivery in a wireless network to conservenetwork and device resources.

The user profiles list the different users 191 and the trackedapplication types 192. In addition, user behavior/habits 193 can betracked for different applications/application types. The applicabletiming parameters 194 may be associated with the tracked behavior/habit193.

FIG. 1B illustrates an example diagram of a system where a host server100 facilitates management of traffic, content caching, and/or resourceconservation between mobile devices (e.g., wireless devices 150 orclient devices 150), and an application server or content provider 110,or other servers such as an ad server 120A, promotional content server120B, or an e-coupon server 120C in a wireless network (or broadbandnetwork) for resource conservation. The host server 100 can furtherbecome aware of mobile device radio states for use in selecting asuitable communications channel for sending messages generated by thehost server or other control signals and facilitate using a user as anend point for profiling and optimizing the delivery of content and datain a wireless network.

The mobile/client devices 150 can be any system and/or device, and/orany combination of devices/systems that is able to establish aconnection, including wired, wireless, cellular connections with anotherdevice, a server and/or other systems such as host server 100 and/orapplication server/content provider 110. Client/mobile devices 150 willtypically include a display and/or other output functionalities topresent information and data exchanged between among the devices 150and/or the host server 100 and/or application server/content provider110. The application server/content provider 110 can by any serverincluding third party servers or service/content providers furtherincluding advertisement, promotional content, publication, or electroniccoupon servers or services. Similarly, separate advertisement servers120A, promotional content servers 120B, and/or e-Coupon servers 120C asapplication servers or content providers are illustrated by way ofexample.

For example, the client/mobile devices 150 can include mobile, hand heldor portable devices, wireless devices, or non-portable devices and canbe any of, but not limited to, a server desktop, a desktop computer, acomputer cluster, or portable devices, including a notebook, a laptopcomputer, a handheld computer, a palmtop computer, a mobile phone, acell phone, a smart phone, a PDA, a Blackberry device, a Palm device,any tablet, a phablet (a class of smart phones with larger screen sizesbetween a typical smart phone and tablet), a handheld tablet (e.g., aniPad, the Galaxy series, the Nexus, the Kindles, Kindle Fires, anyAndroid-based tablet, Windows-based tablet, Amazon-based, or any othertablet), any portable readers/reading devices, a hand held console, ahand held gaming device or console, a head mounted device, a headmounted display, a thin client or any Super Phone such as the iPhone,and/or any other portable, mobile, hand held devices, or fixed wirelessinterface such as a M2M device, etc. In one embodiment, the clientdevices 150 (or mobile devices 150), host server 100, and applicationserver 110 are coupled via a network 106 and/or a network 108. In someembodiments, the devices 150 and host server 100 may be directlyconnected to one another.

The input mechanism on client devices 150 can include touch screenkeypad (including single touch, multi-touch, gesture sensing in 2D or3D, etc.), a physical keypad, a mouse, a pointer, a track pad, a stylus,a stylus detector/sensor/receptor, motion detector/sensor (e.g.,including 1-axis, 2-axis, 3-axis accelerometer, etc.), a facedetector/recognizer, a retinal detector/scanner, a light sensor,capacitance sensor, resistance sensor, temperature sensor, proximitysensor, a piezoelectric device, device orientation detector (e.g.,electronic compass, tilt sensor, rotation sensor, gyroscope,accelerometer), or any combination of the above.

Signals received or detected indicating user activity at client devices150 through one or more of the above input mechanism, or others, can beused in the disclosed technology in acquiring context awareness at theclient device 150. Context awareness at client devices 150 generallyincludes, by way of example but not limitation, client device 150operation or state acknowledgement, management, useractivity/behavior/interaction awareness, detection, sensing, tracking,trending, and/or application (e.g., mobile applications) type, behavior,activity, operating state, etc.

Context awareness in the present disclosure also includes knowledge anddetection of network side contextual data and can include networkinformation such as network capacity, bandwidth, traffic, type ofnetwork/connectivity, and/or any other operational state data. Networkside contextual data can be received from and/or queried from networkservice providers (e.g., cell provider 112 and/or Internet serviceproviders) of the network 106 and/or network 108 (e.g., by the hostserver and/or devices 150). In addition to application context awarenessas determined from the client 150 side, the application contextawareness may also be received from or obtained/queried from therespective application/service providers 110 (by the host 100 and/orclient devices 150).

The host server 100 can use, for example, contextual informationobtained for client devices 150, networks 106/108, applications (e.g.,mobile applications), application server/provider 110, or anycombination of the above, to manage the traffic in the system to satisfydata needs of the client devices 150 (e.g., to satisfy application orany other request including HTTP request). In one embodiment, thetraffic is managed by the host server 100 to satisfy data requests madein response to explicit or non-explicit user 103 requests and/ordevice/application maintenance tasks. The traffic can be managed suchthat network consumption, for example, use of the cellular network isconserved for effective and efficient bandwidth utilization. Inaddition, the host server 100 can manage and coordinate such traffic inthe system such that use of device 150 side resources (e.g., includingbut not limited to battery power consumption, radio use,processor/memory use) are optimized with a general philosophy forresource conservation while still optimizing performance and userexperience.

For example, in context of battery conservation, the device 150 canobserve user activity (for example, by observing user keystrokes,backlight status, or other signals via one or more input mechanisms,etc.) and alters device 150 behaviors. The device 150 can also requestthe host server 100 to alter the behavior for network resourceconsumption based on user activity or behavior.

In one embodiment, the traffic management for resource conservation isperformed using a distributed system between the host server 100 andclient device 150. The distributed system can include proxy server andcache components on the server side 100 and on the device/client side,for example, as shown by the server cache 135 on the server 100 side andthe local cache 185 on the client 150 side.

Functions and techniques disclosed for context aware traffic managementfor resource conservation in networks (e.g., network 106 and/or 108) anddevices 150, reside in a distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation). Theproxy and cache system can be distributed between, and reside on, agiven client device 150 in part or in whole and/or host server 100 inpart or in whole. The distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) areillustrated with further reference to the example diagram shown in FIG.1C. Functions and techniques performed by the (distributed) proxy and/orcache components in the client device 150, the host server 100, and therelated components therein are described, respectively, in detail withfurther reference to the examples of FIG. 2-5.

In one embodiment, client devices 150 communicate with the host server100 and/or the application server 110 over network 106, which can be acellular network and/or a broadband network. To facilitate overalltraffic management between devices 150 and various applicationservers/content providers 110 to implement network (bandwidthutilization) and device resource (e.g., battery consumption), the hostserver 100 can communicate with the application server/providers 110over the network 108, which can include the Internet (e.g., a broadbandnetwork).

In general, the networks 106 and/or 108, over which the client devices150, the host server 100, and/or application server 110 communicate, maybe a cellular network, a broadband network, a telephonic network, anopen network, such as the Internet, or a private network, such as anintranet and/or the extranet, or any combination thereof. For example,the Internet can provide file transfer, remote log in, email, news, RSS,cloud-based services, instant messaging, visual voicemail, push mail,VoIP, and other services through any known or convenient protocol, suchas, but is not limited to the TCP/IP protocol, UDP, HTTP, DNS, FTP,UPnP, NSF, ISDN, PDH, RS-232, SDH, SONET, etc.

The networks 106 and/or 108 can be any collection of distinct networksoperating wholly or partially in conjunction to provide connectivity tothe client devices 150 and the host server 100 and may appear as one ormore networks to the serviced systems and devices. In one embodiment,communications to and from the client devices 150 can be achieved by, anopen network, such as the Internet, or a private network, broadbandnetwork, such as an intranet and/or the extranet. In one embodiment,communications can be achieved by a secure communications protocol, suchas secure sockets layer (SSL), or transport layer security (TLS).

In addition, communications can be achieved via one or more networks,such as, but are not limited to, one or more of WiMax, a Local AreaNetwork (LAN), Wireless Local Area Network (WLAN), a Personal areanetwork (PAN), a Campus area network (CAN), a Metropolitan area network(MAN), a Wide area network (WAN), a Wireless wide area network (WWAN),or any broadband network, and further enabled with technologies such as,by way of example, Global System for Mobile Communications (GSM),Personal Communications Service (PCS), Bluetooth, WiFi, Fixed WirelessData, 2G, 2.5G, 3G (e.g., WCDMA/UMTS based 3G networks), 4G,IMT-Advanced, pre-4G, LTE Advanced, mobile WiMax, WiMax 2,WirelessMAN-Advanced networks, enhanced data rates for GSM evolution(EDGE), General packet radio service (GPRS), enhanced GPRS, iBurst,UMTS, HSPDA, HSUPA, HSPA, HSPA+, UMTS-TDD, 1xRTT, EV-DO, messagingprotocols such as, TCP/IP, SMS, MMS, extensible messaging and presenceprotocol (XMPP), real time messaging protocol (RTMP), instant messagingand presence protocol (IMPP), instant messaging, USSD, IRC, or any otherwireless data networks, broadband networks, or messaging protocols.

FIG. 1C illustrates an example diagram of a proxy and cache systemdistributed between the host server 100 and device 150 which facilitatesnetwork traffic management between the device 150 and an applicationserver or content provider 110, or other servers such as an ad server120A, promotional content server 120B, or an e-coupon server 120C forresource conservation and content caching. The proxy system distributedamong the host server 100 and the device 150 can further monitor mobileapplication activities for malicious traffic on a mobile device and/orautomatically generate and/or distribute policy information regardingmalicious traffic in a wireless network.

The distributed proxy and/or cache system (e.g., (distributed) trafficoptimizer, traffic management system, (distributed) content cachingmechanism for traffic alleviation) (e.g., (distributed) trafficoptimizer, traffic management system, (distributed) content cachingmechanism for traffic alleviation) can include, for example, the proxyserver 125 (e.g., remote proxy) and the server cache, 135 components onthe server side. The server-side proxy 125 and cache 135 can, asillustrated, reside internal to the host server 100. In addition, theproxy server 125 and cache 135 on the server-side can be partially orwholly external to the host server 100 and in communication via one ormore of the networks 106 and 108. For example, the proxy server 125 maybe external to the host server and the server cache 135 may bemaintained at the host server 100. Alternatively, the proxy server 125may be within the host server 100 while the server cache is external tothe host server 100. In addition, each of the proxy server 125 and thecache 135 may be partially internal to the host server 100 and partiallyexternal to the host server 100. The application server/content provider110 can by any server including third party servers or service/contentproviders further including advertisement, promotional content,publication, or electronic coupon servers or services. Similarly,separate advertisement servers 120A, promotional content servers 120B,and/or e-Coupon servers 120C as application servers or content providersare illustrated by way of example.

The distributed system can also, include, in one embodiment, client-sidecomponents, including by way of example but not limitation, a localproxy 175 (e.g., a mobile client on a mobile device) and/or a localcache 185, which can, as illustrated, reside internal to the device 150(e.g., a mobile device).

In addition, the client-side proxy 175 and local cache 185 can bepartially or wholly external to the device 150 and in communication viaone or more of the networks 106 and 108. For example, the local proxy175 may be external to the device 150 and the local cache 185 may bemaintained at the device 150. Alternatively, the local proxy 175 may bewithin the device 150 while the local cache 185 is external to thedevice 150. In addition, each of the proxy 175 and the cache 185 may bepartially internal to the host server 100 and partially external to thehost server 100.

In one embodiment, the distributed system can include an optionalcaching proxy server 199. The caching proxy server 199 can be acomponent which is operated by the application server/content provider110, the host server 100, or a network service provider 112, and or anycombination of the above to facilitate network traffic management fornetwork and device resource conservation. Proxy server 199 can be used,for example, for caching content to be provided to the device 150, forexample, from one or more of, the application server/provider 110, hostserver 100, and/or a network service provider 112. Content caching canalso be entirely or partially performed by the remote proxy 125 tosatisfy application requests or other data requests at the device 150.

In context aware traffic management and optimization for resourceconservation in a network (e.g., cellular or other wireless networks),characteristics of user activity/behavior and/or application behavior ata mobile device (e.g., any wireless device) 150 can be tracked by thelocal proxy 175 and communicated, over the network 106 to the proxyserver 125 component in the host server 100, for example, as connectionmetadata. The proxy server 125 which in turn is coupled to theapplication server/provider 110 provides content and data to satisfyrequests made at the device 150.

In addition, the local proxy 175 can identify and retrieve mobile deviceproperties, including one or more of, battery level, network that thedevice is registered on, radio state, or whether the mobile device isbeing used (e.g., interacted with by a user). In some instances, thelocal proxy 175 can delay, expedite (prefetch), and/or modify data priorto transmission to the proxy server 125, when appropriate, as will befurther detailed with references to the description associated with theexamples of FIG. 2-5.

The local database 185 can be included in the local proxy 175 or coupledto the local proxy 175 and can be queried for a locally stored responseto the data request prior to the data request being forwarded on to theproxy server 125. Locally cached responses can be used by the localproxy 175 to satisfy certain application requests of the mobile device150, by retrieving cached content stored in the cache storage 185, whenthe cached content is still valid.

Similarly, the proxy server 125 of the host server 100 can also delay,expedite, or modify data from the local proxy prior to transmission tothe content sources (e.g., the application server/content provider 110).In addition, the proxy server 125 uses device properties and connectionmetadata to generate rules for satisfying request of applications on themobile device 150. The proxy server 125 can gather real time trafficinformation about requests of applications for later use in optimizingsimilar connections with the mobile device 150 or other mobile devices.

In general, the local proxy 175 and the proxy server 125 are transparentto the multiple applications executing on the mobile device. The localproxy 175 is generally transparent to the operating system or platformof the mobile device and may or may not be specific to devicemanufacturers. In some instances, the local proxy 175 is optionallycustomizable in part or in whole to be device specific. In someembodiments, the local proxy 175 may be bundled into a wireless model, afirewall, and/or a router.

In one embodiment, the host server 100 can in some instances, utilizethe store and forward functions of a short message service center (SMSC)112, such as that provided by the network service provider, incommunicating with the device 150 in achieving network trafficmanagement. Note that 112 can also utilize any other type of alternativechannel including USSD or other network control mechanisms. The hostserver 100 can forward content or HTTP responses to the SMSC 112 suchthat it is automatically forwarded to the device 150 if available, andfor subsequent forwarding if the device 150 is not currently available.

In general, the disclosed distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) allowsoptimization of network usage, for example, by serving requests from thelocal cache 185, the local proxy 175 reduces the number of requests thatneed to be satisfied over the network 106. Further, the local proxy 175and the proxy server 125 may filter irrelevant data from thecommunicated data. In addition, the local proxy 175 and the proxy server125 can also accumulate low priority data and send it in batches toavoid the protocol overhead of sending individual data fragments. Thelocal proxy 175 and the proxy server 125 can also compress or transcodethe traffic, reducing the amount of data sent over the network 106and/or 108. The signaling traffic in the network 106 and/or 108 can bereduced, as the networks are now used less often and the network trafficcan be synchronized among individual applications.

With respect to the battery life of the mobile device 150, by servingapplication or content requests from the local cache 185, the localproxy 175 can reduce the number of times the radio module is powered up.The local proxy 175 and the proxy server 125 can work in conjunction toaccumulate low priority data and send it in batches to reduce the numberof times and/or amount of time when the radio is powered up. The localproxy 175 can synchronize the network use by performing the batched datatransfer for all connections simultaneously.

FIG. 1D illustrates an example diagram of the logical architecture of adistributed proxy and cache system.

The distributed system can include, for example the followingcomponents:

Client Side Proxy 175: a component installed in the Smartphone, mobiledevice or wireless device 150 that interfaces with device's operatingsystem, as well as with data services and applications installed in thedevice. The client side proxy 175 is typically compliant with and ableto operate with standard or state of the art networking protocols.Additional components and features of the client-side proxy 175 areillustrated with further references to the examples of FIG. 2A-FIG. 2Band FIG. 4A-4C.

The server side proxy 125 can include one or more servers that caninterface with third party application servers (e.g., 199), mobileoperator's network (which can be proxy 199 or an additional server thatis not illustrated) and/or the client side proxy 175. In general, theserver side proxy 125 can be compliant with and is generally able tooperate with standard or state of the art networking protocols and/orspecifications for interacting with mobile network elements and/or thirdparty servers. Additional components and features of the server-sideproxy 125 are illustrated with further references to the examples ofFIG. 3A-FIG. 3B and FIG. 5A-5C.

Reporting and Usage Analytics Server 174: The Reporting and UsageAnalytics system or component 174 can collect information from theclient side 175 and/or the server side 125 and provides the necessarytools for producing reports and usage analytics can used for analyzingtraffic and signaling data. Such analytics can be used by the proxysystem in managing/reducing network traffic or by the network operatorin monitoring their networks for possible improvements and enhancements.Note that the reporting and usage analytics system/component 174 asillustrated, may be a server separate from the server-side proxy 125, orit may be a component of the server-side proxy 125, residing partiallyor wholly therein.

FIG. 1E illustrates an example diagram showing the architecture ofclient side components in a distributed proxy and cache system.

The client side components 175 can include software components or agentsinstalled on the mobile device that enables traffic optimization andperforms the related functionalities on the client side. Components ofthe client side proxy 175 can operate transparently for end users andapplications 163. The client side proxy 175 can be installed on mobiledevices for optimization to take place, and it can effectuate changes onthe data routes. Once data routing is modified, the client side proxy175 can respond to application requests to service providers or hostservers, in addition to or instead of letting those applications 163access data network directly. In general, applications 163 on the mobiledevice will not notice that the client side proxy 175 is responding totheir requests. Some example components of the client side proxy 175 aredescribed as follows:

Device State Monitor 121: The device state monitor 121 can beresponsible for identifying several states and metrics in the device,such as network status, display status, battery level, etc. such thatthe remaining components in the client side proxy 175 can operate andmake decisions according to device state, acting in an optimal way ineach state.

Traffic Recognizer 122: The traffic recognizer 122 analyzes all trafficbetween the wireless device applications 163 and their respective hostservers in order to identify recurrent patterns. Supported transportprotocols include, for example, DNS, HTTP and HTTPS, such that trafficthrough those ports is directed to the client side proxy 175. Whileanalyzing traffic, the client side proxy 175 can identify recurringpolling patterns which can be candidates to be performed remotely by theserver side proxy 125, and send to the protocol optimizer 123.

Protocol Optimizer 123: The protocol optimizer 123 can implement thelogic of serving recurrent request from the local cache 185 instead ofallowing those request go over the network to the serviceprovider/application host server. One is its tasks is to eliminate orminimize the need to send requests to the network, positively affectingnetwork congestion and device battery life.

Local Cache 185: The local cache 185 can store responses to recurrentrequests, and can be used by the Protocol Optimizer 123 to sendresponses to the applications 163.

Traffic Scheduler 124: The traffic scheduler 124 can temporally movecommunications to optimize usage of device resources by unifyingkeep-alive signaling so that some or all of the different applications163 can send keep-alive messages at the same time (traffic pipelining).Traffic scheduler 124 may also decide to delay transmission of data thatis not relevant at a given time (for example, when the device is notactively used).

Policy Manager 125: The policy manager 125 can store and enforce trafficoptimization and reporting policies provisioned by a Policy ManagementServer (PMS). At the client side proxy 175 first start, trafficoptimization and reporting policies (policy profiles) that is to beenforced in a particular device can be provisioned by the PolicyManagement Server.

Watch Dog 127: The watch dog 127 can monitor the client side proxy 175operating availability. In case the client side proxy 175 is not workingdue to a failure or because it has been disabled, the watchdog 127 canreset DNS routing rules information and can restore original DNSsettings for the device to continue working until the client side proxy175 service is restored.

Reporting Agent 126: The reporting agent 126 can gather informationabout the events taking place in the device and sends the information tothe Reporting Server. Event details are stored temporarily in the deviceand transferred to reporting server only when the data channel state isactive. If the client side proxy 175 doesn't send records withintwenty-four hours, the reporting agent 126 may attempt to open theconnection and send recorded entries or, in case there are no entries instorage, an empty reporting packet. All reporting settings areconfigured in the policy management server.

Push Client 128: The push client 128 can be responsible for the trafficto between the server side proxy 125 and the client side proxy 175. Thepush client 128 can send out service requests like content updaterequests and policy update requests, and receives updates to thoserequests from the server side proxy 125. In addition, push client 128can send data to a reporting server (e.g., the reporting and/or usageanalytics system which may be internal to or external to the server sideproxy 125).

The proxy server 199 has a wide variety of uses, from speeding up a webserver by caching repeated requests, to caching web, DNS and othernetwork lookups for a group of clients sharing network resources. Theproxy server 199 is optional. The distributed proxy and cache system(125 and/or 175) allows for a flexible proxy configuration using eitherthe proxy 199, additional proxy(s) in operator's network, or integratingboth proxies 199 and an operator's or other third-party's proxy.

FIG. 1F illustrates a diagram of the example components on the serverside of the distributed proxy and cache system.

The server side 125 of the distributed system can include, for example arelay server 142, which interacts with a traffic harmonizer 144, apolling server 145 and/or a policy management server 143. Each of thevarious components can communicate with the client side proxy 175, orother third party (e.g., application server/service provider 110 and/orother proxy 199) and/or a reporting and usage analytics system. Someexample components of the server side proxy 125 is described as follows:

Relay Server 142: The relay server 142 is the routing agent in thedistributed proxy architecture. The relay server 142 manages connectionsand communications with components on the client-side proxy 175installed on devices and provides an administrative interface forreports, provisioning, platform setup, and so on.

Notification Server 141: The notification server 141 is a module able toconnect to an operator's SMSC gateways and deliver SMS notifications tothe client-side proxy 175. SMS notifications can be used when an IP linkis not currently active, in order to avoid the client-side proxy 175from activating a connection over the wireless data channel, thusavoiding additional signaling traffic. However, if the IP connectionhappens to be open for some other traffic, the notification server 141can use it for sending the notifications to the client-side proxy 175.The user database can store operational data including endpoint(MSISDN), organization and Notification server 141 gateway for eachresource (URIs or URLs).

Traffic Harmonizer 144: The traffic harmonizer 144 can be responsiblefor communication between the client-side proxy 175 and the pollingserver 145. The traffic harmonizer 144 connects to the polling server145 directly or through the data storage 130, and to the client over anyopen or proprietary protocol such as the 7TP, implemented for trafficoptimization. The traffic harmonizer 144 can be also responsible fortraffic pipelining on the server side: if there's cached content in thedatabase for the same client, this can be sent over to the client in onemessage.

Polling Server 145: The polling server 145 can poll third partyapplication servers on behalf of applications that are being optimized).If a change occurs (i.e. new data available) for an application, thepolling server 145 can report to the traffic harmonizer 144 which inturn sends a notification message to the client-side proxy 175 for it toclear the cache and allow application to poll application serverdirectly.

Policy Management Server 143: The policy management server (PMS) 143allows administrators to configure and store policies for theclient-side proxies 175 (device clients). It also allows administratorsto notify the client-side proxies 175 about policy changes. Using thepolicy management server 143, each operator can configure the policiesto work in the most efficient way for the unique characteristics of eachparticular mobile operator's network.

Reporting and Usage Analytics Component: The Reporting and UsageAnalytics component or system collects information from the client side175 and/or from the server side 125, and provides the tools forproducing reports and usage analytics that operators can use foranalyzing application signaling and data consumption.

FIG. 2A depicts a block diagram illustrating another example ofclient-side components (e.g., the local proxy 275) in a distributedproxy and cache system on a mobile device 250, further including auser-based content delivery optimization engine 401 for implementing orfacilitating dynamic bandwidth adjustment or allocation based on userbehavior detection or anticipation such as adjustments that can be madefor browsing versus streaming activities.

FIG. 2B depicts a block diagram illustrating additional components inthe user-based content delivery optimization engine 401 shown in theexample of FIG. 2A.

The user-based content delivery optimization engine 201, can include,for example, a user-specific device tracker 402, a user behaviorprofiling engine 403 having a browsing behavior analyzer 407 and/or astreaming behavior analyzer 408, and/or a user-specific trafficoptimizer having a bandwidth or radio throttling engine 405. Additionalor less modules maybe included in the mobile device 250 which canthrottle radio use based on user habit, include habits specific tobrowsing or streaming.

The mobile device 250 can include, for example, a radio, a processingunit, memory unit having instructions stored thereon which when executedby the processing unit, causes the mobile device 250 to, for example,throttle the radio (e.g., via the user-specific traffic optimizer 404and/or the bandwidth or radio throttling engine 405) between high andlowered power states based on the user habit of a user using the mobiledevice in mobile usage sessions.

The radio of the mobile device 250 can be throttled among three powerstates when connected to a 3G wireless network or throttled among twopower states when connected to a 4G or LTE network. Note that while onemobile device 250 is illustrated, the mobile usage sessions for a givenuser can be tracked across multiple other devices by a proxy server(e.g., proxy server 325) coupled the mobile device 250, or by theindividual local proxies 275 on each different mobile device.

The user-based content delivery optimization engine 401 and itscomponents in the local proxy 275 can alone or in any combinationdetect, track, identify, and/or profile various aspects of user behaviorwith respect to mobile usage or mobile usage sessions (e.g., by theuser-specific device tracker 402) including, for example, accessingmobile applications or downloading, viewing, editing content (e.g.,including feeds, media, updates, audio, video, etc.) (e.g., by userbehavior profiling engine 403). For example, the user behavior profilingengine 403 can detect that a user typically accesses his/her work emailaccount between the hours of 7-9 am on the portable device and uses adesktop device to access the emails between 9 am-3 pm. The user behaviorprofiling engine 403 can also detect that a given user views certainemail accounts more on nights and weekends than other email accounts, orviews certain applications during certain times of day and/or certaindays of the week.

The user behavior profiling engine 403 can also detect, identify, trackand/or profile user behavior with respect to certain file types orcertain types of content. For example, a user may view streaming videofor no more than 3 minutes or 2 minutes, or 30 sec. of a given videofile and may stream audio for no more than 15 seconds or 30 seconds,etc. for a given audio file. The behavior profiling engine 403 maynotice, detect, track, and/or record that the user downloads orpurchases applications from certain online marketplaces more thanothers, etc. Such user behavior/habit profiles are illustrated withreference to the examples of FIG. 1A-1 and FIG. 1A-2.

The user behavior profiling engine 403 can also detect, identify, ordistinguish browsing activities and streaming activities. Based on thedetection of browsing activity, the user behavior profiling engine 403(e.g., or the browser behavior analyzer 407) can analyzer a user'sactions and behavior when using different browsers, when browsingvarious websites, different websites, or browsing market places, whenmaking a purchase (e.g., depending on type of product or type of onlinemarketplace), different types of websites (e.g., gaming site or onlinesocial networking site, or blogging site). The user behavior and actionscan be analyzed with respect to websites depending on topic (e.g.,inferred or explicitly specified user interest). For example, the systemand determine or detect that the user tends to spend more time on skiingrelated sites rather than scuba diving related sites (e.g., via the userbehavior profiling engine 403). The system (user behavior profilingengine 403 or the browsing behavior analyzer 407) can also determine ordetect that the user spends more or less time browsing during certaintimes of day or days of the week. The user-based content deliveryoptimization engine 401, can thus use this information, and/oroptionally in conjunction with additional information collected ordetermined by the local proxy 275, adjust the bandwidth for the user toensure adequate bandwidth for the user's browsing and/or any other needsat the mobile device 250 based on present or anticipated conditionsand/or user behavior.

Similarly, user behavior profiling engine 403 or the streaming behavioranalyzer 408 can detect streaming activity at the mobile device 250.Based on the detection of streaming activity, the profiling engine 403can detect, analyze, and infer or determine a given user's behavior,habits or tendencies when streaming content (e.g., audio, video, etc.)For example, the streaming behavior analyzer 408 may determine that theuser streams certain types of content for longer periods of time (e.g.,audio longer than video or vice versa). The analyzer 408 may detect ordetermine that when streams pertain to certain topics, the user streamsthe content for longer or shorter periods of time. Such topics may alsobe inferred by the analyzer 408 or determined by the local proxy 275 viaimplicit or explicit mechanisms. The streaming behavior analyzer 408 canalso detect or determine differences in streaming needs or behaviorsfrom the user during different times of day. For example, a given usermay view a video stream or listen to an audio stream for shorter periodsof time during the day time (or business hours/business days) than afterhours (e.g., after business hours or on weekends).

Based on content or origin of site (e.g., originating URL) of thestreamed content, the analyzer 408 can also detect or determinecorrelation with user behavior with respect to streaming content. Forexample, the system can detect that when a given user is streaming livecontent, he/she is less likely to stop streaming until the end of thestreamed event (e.g., live sporting event). The user behavior profilingengine 403 or streaming behavior analyzer 408 can determine that if auser is streaming content from Youtube, for example, the user is morelikely to stop the streaming mid-stream and/or less likely to finish thestreamed content. As such, different viewing/streaming/listeningtimes/behavior can be associated with content, sites, URLs, time of day,day of week, for each user and can be tracked and/or stored by the userbehavior profiling engine 403 via the streaming behavior analyzer 408.Uploading streamed content from the mobile device 250 can also beaccommodated in the same way. For example, the average length ofstreamed content that a user uploads via mobile device 250, quality ofthe uploaded content, such metrics can be determined with respect totype of content (e.g., audio or video), the site that the content isstreamed to, or the receiving user or device that content is streamedto. The user-based content delivery optimization engine 401 can optimizebandwidth allocation such that user needs are met without consumingun-needed bandwidth.

In addition, the user-based content delivery optimization engine 401 cantrack the multiple devices that any given user uses to access his/herapplications, reads emails, or accesses other services. For example, theuser-based content delivery optimization engine 401 can determine thatone user uses his/her tablet device for downloading books or othertext/document based content and uses a Smartphone mostly for textmessaging, emails, or accessing applications such as Twitter, Facebook,etc. The behavior profiling engine 403 can also detect and track userbehavior with respect to certain applications, types of content, ondifferent devices. For example, the user behavior profiling engine 403or the streaming behavior analyzer 408 can determine that the userdownloads on average 3 minutes of video on a tablet device or laptopdevice as opposed to the average of 1 minute of a video stream on asmart phone, or on another phone. Using the profiled user information,the user-based content delivery optimization engine 401 can tweakbandwidth allocation as a function of time, day, application, service,content, site, and/or media type for a given user to optimize use ofnetwork resources such that the user has enough bandwidth to accommodatehis/her activities on any given device, including for example, differentneeds/behaviors with respect to browsing and/or streaming activities.

FIG. 3A depicts a block diagram illustrating an example of server-sidecomponents (proxy server 325) in a distributed proxy and cache system,further including a user-based content delivery optimization engine 501for implementing or facilitating dynamic bandwidth adjustment orallocation based on user behavior detection or anticipation such asadjustments that can be made for browsing versus streaming activities.

FIG. 3B depicts a block diagram illustrating additional components inthe user-based content delivery optimization engine 501 shown in theexample of FIG. 3A.

The user-based content delivery optimization engine 501, can include,for example, a user-specific device tracker 502, a multi-device userbehavior profiling engine 503 having a browsing behavior analyzer 507and/or a streaming behavior analyzer 508, user-specific trafficoptimizer 504 having a bandwidth throttling engine 505, and/or anoperator policy tracking engine 506. Additional or less modules maybeincluded.

The user-based content delivery optimization engine 501 of the proxyserver 325 shown in the example of FIG. 3A-FIG. 3B can track themultiple mobile devices that any given user uses to access his/herapplications, reads emails, or accesses other services. The proxy server325, in a wireless network, can perform content consumption basedresource allocation to a user in the wireless network, by aggregating orcomputing statistical data related to the content consumption in mobileusage sessions of multiple users and/or facilitates control of theresource allocated to the multiple users in the wireless network basedon the statistical data of the content consumption of the user's mobileusage relating to browsing activity or content streaming activity. Thestatistical data can include, by way of example but not limitation, oneor more of, frequency of the content consumption, amount of the contentconsumption, and timing parameters related to the content consumption.

The content consumption of the mobile usage relating to browsingactivity can include, for example, content consumption with respect tosite topic based on inferred or explicitly specified user interest, thecontent consumption of the mobile usage relating to streaming activitycan include, for example, content consumption with respect to differentstreaming sites, or different streamed content type or with respect toan event being streamed.

In one embodiment, the content consumption of each of the multiple usersis tracked by a local proxy (e.g., local proxy 275 of FIG. 2A-FIG. 2B)residing on a respective mobile device of each of the multiple users.The local proxies can be coupled to the proxy server 325 in the wirelessnetwork and can communicate data relating to the content consumptionrelating to browsing activity or content streaming activity to the proxyserver 325.

In one embodiment, the user-based content delivery optimization engine501 can determine that one user uses his/her tablet device fordownloading books or other text/document based content and uses aSmartphone mostly for text messaging, emails, or accessing applicationssuch as Twitter, Facebook, etc. (e.g., via the multi-device userbehavior profiling engine 503). The multi-device user behavior profilingengine 503 can also detect and track user behavior with respect tocertain applications, types of content, on different devices.

For example, the user-specific device tracker 502 or multi-device userbehavior profiling engine 503 can determine that the user downloads onaverage 3 minutes of video on a head mounted device, head mounteddisplay, tablet device, a phablet, desktop, or laptop device as opposedto the average of 1 minute of a video stream on a thin-client, asmartphone, any mobile phone, or on another phone. Using the profileduser information, the optimization engine 501 can tweak bandwidthallocation (e.g., via the user-specific traffic optimizer 504 and/or thebandwidth and/or radio throttling engine 505) as a function of time,day, application, service, content, site, and/or media type for a givenuser to optimize use of network resources such that the user has enoughbandwidth to accommodate his/her activities on any given device.

The user-based content delivery optimization engine 501 and itscomponents can alone or in any combination profile various aspects ofuser behavior with respect to accessing mobile applications ordownloading, viewing, editing, entering, uploading, streaming, content(e.g., including feeds, media, updates, audio, video, etc.) (e.g., bythe user behavior profiling engine 503), either in addition to or inlieu of those functions performed by the client-side component (e.g.,the user-based content or data delivery optimization engine 401 asdescribed with respect to FIG. 2A-B). The multi-device user behaviorprofiling engine 503 can in addition, identify, detect, track userbehavior across multiple devices. For example, a given users emailaccess, read, write, response behavior across two different Smartphones,via his/her tablet device, or laptop, etc. The user's behavior and usepattern/frequency of certain applications and access/use of certainservices, etc, can be tracked across different devices by themulti-device user behavior profiling engine 503.

For example, the user-based content delivery optimization engine 501 canthrough the multi-device user behavior profiling engine 503, determinethat at certain times or days, the user is more likely or always usesone device versus another device to access a certain email account, or acertain application. Thus, updates or new content may be delivered tothe identified preferred device such that bandwidth and network use canbe conserved. The user-based content delivery optimization engine 501can either deliver the content or notify the user that content isavailable based on the likelihood that the user is interested in thecontent or the service, based on how frequently the user accessesupdates from a given application and/or how quickly the user accesses anupdate after it has been delivered to the device. In this manner,network resources are not used or wasted on delivery of content that agiven user is not interested in.

As such the user specific traffic optimizer 504 can tune networkallocation or deliver content in a manner that is personalized to thegiven user based on the time, day, network congestion, and/or whatdevice the user is using. For example, the bandwidth and/or radiothrottling engine 505 can adjust the bandwidth allocated to a given useror sets of users based on their use pattern or other behavior. In someinstances, the traffic optimization is performed in accordance withoperator policies (e.g., as tracked by the operator policy trackingengine 506).

For example, the operator may specify certain limitations for bandwidthallocation to specific users, types of users (e.g., specified by accounttype, geographical location, network capacity), users using specificapplications, specific types of devices, devices with specificcapabilities (e.g., 3G vs. LTE, HSPA+, or 4G), devices having installedspecific types of applications, network conditions, or specify anacceptable frequency within which application polls can be sent over anetwork. The operator may specify bandwidth that can be allocated tospecific types of activities (e.g., for streaming audio or video at agiven time/day, number/frequency of polls/requests/responses by certainapplications, etc.).

The user-based content delivery optimization engine 501 can allocatebandwidth and/or delivery content through batching (e.g., piggy backing)to users in a personalized fashion based on user behavior with respectto time, frequency of access of various services and applications (e.g.,as determined by the browsing behavior analyzer 507 and/or the streamingbehavior analyzer 508), for example, based on an example of userbehavior profiles shown in FIG. 1A-1 and FIG. A-2.

The content delivery can also be tailored to user behavior with respectto certain content or file types, for example, how long a user streamscertain types of content for, and if there is a difference between theuser's different devices (e.g., via the multi-device user behaviorprofiling engine 503), and/or during different times of day/days of theweek. The user-based content delivery optimization process can alsofactor into any network operator specific policies and/or Internetservice provider policies.

The multi-device user behavior profiling engine 503 can also detect,identify, or distinguish browsing activities and streaming activities.Based on the detection of browsing activity, multi-device user behaviorprofiling engine 503 (e.g., or the browser behavior analyzer 407) cananalyzer a user's actions and behavior when using different browsers,when browsing various websites, different websites, or browsing marketplaces, when making a purchase (e.g., depending on type of product ortype of online marketplace), different types of websites (e.g., gamingsite or online social networking site, or blogging site). The userbehavior and actions can be analyzed with respect to websites dependingon topic (e.g., inferred or explicitly specified user interest). Forexample, the proxy server 325 and determine or detect that the usertends to spend more time on skiing related sites rather than scubadiving related sites (e.g., via the multi-device user behavior profilingengine 503). The system (multi-device user behavior profiling engine 503or the browsing behavior analyzer 407) can also determine or detect thatthe user spends more or less time browsing during certain times of dayor days of the week. The user-based content delivery optimization engine501, can thus use this information, and/or optionally in conjunctionwith additional information collected or determined by the proxy server325, adjust the bandwidth for the user to ensure adequate bandwidth forthe user's browsing and/or any other needs based on present oranticipated conditions and/or user behavior.

Similarly, user behavior profiling engine 403 or the streaming behavioranalyzer 508 can detect streaming activity. Based on the detection ofstreaming activity, the profiling engine 503 can detect, analyze, andinfer or determine a given user's behavior, habits or tendencies whenstreaming content (e.g., audio, video, etc.) For example, the streamingbehavior analyzer 508 may determine that the user streams certain typesof content for longer periods of time (e.g., audio longer than video orvice versa). The streaming behavior analyzer 508 may detect or determinethat when streams pertain to certain topics, the user streams thecontent for longer or shorter periods of time. Such topics may also beinferred by streaming behavior analyzer 508 via implicit or explicitmechanisms. The streaming behavior analyzer 508 can also detect ordetermine differences in streaming needs or behaviors from the userduring different times of day. For example, a given user may view avideo stream or listen to an audio stream for shorter periods of timeduring the day time (or business hours/business days) than after hours(e.g., after business hours or on weekends).

Based on content or origin of site (e.g., originating URL) of thestreamed content, the streaming behavior analyzer 508 can also detect ordetermine correlation with user behavior with respect to streamingcontent. For example, the system can detect that when a given user isstreaming live content, he/she is less likely to stop streaming untilthe end of the streamed event (e.g., live sporting event). Themulti-device user behavior profiling engine 503 or streaming behavioranalyzer 508 can determine that if a user is streaming content fromYoutube, for example, the user is more likely to stop the streamingmid-stream and/or less likely to finish the streamed content, anddetermine and track this for multiple users across one or multiplecarrier networks.

As such, different viewing/streaming/listening times/behavior can beassociated with content, sites, URLs, time of day, day of week, for eachuser and can be tracked and/or stored by the multi-device user behaviorprofiling engine 503 via the streaming behavior analyzer 508. Uploadingstreamed content can also be accommodated in the same way. For example,the average length of streamed content that a user uploads, quality ofthe uploaded content, such metrics can be determined with respect totype of content (e.g., audio or video), the site that the content isstreamed to, or the receiving user or device that content is streamedto. The user-based content delivery optimization engine 501 can optimizebandwidth allocation such that user needs are met without consumingun-needed bandwidth.

The multi-device user behavior profiling engine 503 can also detect andtrack user behavior with respect to certain applications, types ofcontent, on different devices for multiple users across a single carrieror multiple carriers/operators. For example, the multi-device userbehavior profiling engine 503 or the streaming behavior analyzer 508 candetermine that the user downloads on average 3 minutes of video on atablet device or laptop device as opposed to the average of 1 minute ofa video stream on a smart phone, or on another phone. Using the profileduser information, the user-based content delivery optimization engine501 can tweak bandwidth allocation as a function of time, day,application, service, content, site, and/or media type for a given userto optimize use of network resources such that the user has enoughbandwidth to accommodate his/her activities on any given device,including for example, different needs/behaviors with respect tobrowsing and/or streaming activities.

FIG. 4A depicts a block diagram illustrating an example of client-sidecomponents in a distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation)residing on a mobile device (e.g., wireless device) 250 that managestraffic in a wireless network (or broadband network) for resourceconservation, content caching, and/or traffic management. Theclient-side proxy (or local proxy 275) can further categorize mobiletraffic and/or implement delivery policies based on applicationbehavior, content priority, user activity, and/or user expectations. Theclient-side components/proxy 275 can further facilitate using a user asan end point for profiling and optimizing the delivery of content anddata in a wireless network.

The mobile device 250, which can be a portable or mobile device (e.g.,any wireless device), such as a portable phone, generally includes, forexample, a network interface 208 an operating system 204, a context API206, and mobile applications which may be proxy-unaware 210 orproxy-aware 220. Note that the mobile device 250 is specificallyillustrated in the example of FIG. 4A-4C as a mobile device, such is nota limitation and that device 250 may be any wireless, broadband,portable/mobile or non-portable device able to receive, transmit signalsto satisfy data requests over a network including wired or wirelessnetworks (e.g., WiFi, cellular, Bluetooth, LAN, WAN, etc.).

The network interface 208 can be a networking module that enables themobile device 250 to mediate data in a network with an entity that isexternal to the host server 250, through any known and/or convenientcommunications protocol supported by the host and the external entity.The network interface 208 can include one or more of a network adaptorcard, a wireless network interface card (e.g., SMS interface, WiFiinterface, interfaces for various generations of mobile communicationstandards including but not limited to 2G, 3G, 3.5G, 4G, LTE, etc.,),Bluetooth, or whether or not the connection is via a router, an accesspoint, a wireless router, a switch, a multilayer switch, a protocolconverter, a gateway, a bridge, a bridge router, a hub, a digital mediareceiver, and/or a repeater.

Device 250 can further include, client-side components of thedistributed proxy and/or cache system (e.g., (distributed) trafficoptimizer, traffic management system, (distributed) content cachingmechanism for traffic alleviation) (e.g., (distributed) trafficoptimizer, traffic management system, (distributed) content cachingmechanism for traffic alleviation) which can include, a local proxy 275(e.g., a mobile client of a mobile device) and a cache 285. In oneembodiment, the local proxy 275 includes a user activity module 215, aproxy API 225, a request/transaction manager 235, a caching policymanager 245 having an application protocol module 248, a traffic shapingengine 255, and/or a connection manager 265. The traffic shaping engine255 may further include an alignment module 256 and/or a batching module257, the connection manager 265 may further include a radio controller266. The request/transaction manager 235 can further include anapplication behavior detector 236 and/or a prioritization engine 241,the application behavior detector 236 may further include a patterndetector 237 and/or and application profile generator 239. Additional orless components/modules/engines can be included in the local proxy 275and each illustrated component.

As used herein, a “module,” “a manager,” a “handler,” a “detector,” an“interface,” a “controller,” a “normalizer,” a “generator,” an“invalidator,” or an “engine” includes a general purpose, dedicated orshared processor and, typically, firmware or software modules that areexecuted by the processor. Depending upon implementation-specific orother considerations, the module, manager, handler, detector, interface,controller, normalizer, generator, invalidator, or engine can becentralized or its functionality distributed. The module, manager,handler, detector, interface, controller, normalizer, generator,invalidator, or engine can include general or special purpose hardware,firmware, or software embodied in a computer-readable (storage) mediumfor execution by the processor.

As used herein, a computer-readable medium or computer-readable storagemedium is intended to include all mediums that are statutory (e.g., inthe United States, under 35 U.S.C. 101), and to specifically exclude allmediums that are non-statutory in nature to the extent that theexclusion is necessary for a claim that includes the computer-readable(storage) medium to be valid. Known statutory computer-readable mediumsinclude hardware (e.g., registers, random access memory (RAM),non-volatile (NV) storage, to name a few), but may or may not be limitedto hardware.

In one embodiment, a portion of the distributed proxy and/or cachesystem (e.g., (distributed) traffic optimizer, traffic managementsystem, (distributed) content caching mechanism for traffic alleviation)(e.g., (distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) fornetwork traffic management resides in or is in communication with device250, including local proxy 275 (mobile client) and/or cache 285. Thelocal proxy 275 can provide an interface on the mobile device 250 forusers to access device applications and services including email, IM,voice mail, visual voicemail, feeds, Internet, games, productivitytools, or other applications, etc.

The proxy 275 is generally application independent and can be used byapplications (e.g., both proxy-aware and proxy-unaware applications 210and 220 and other mobile applications) to open TCP connections to aremote server (e.g., the server 100 in the examples of FIG. 1B-1F and/orserver proxy 125/325 shown in the examples of FIG. 1B-FIG. 1D, FIG.3A-FIG. 3B, and FIG. 5A-5C). In some instances, the local proxy 275includes a proxy API 225 which can be optionally used to interface withproxy-aware applications 220 (or applications (e.g., mobileapplications) on a mobile device (e.g., any wireless device)).

The applications 210 and 220 can generally include any user application,widgets, software, HTTP-based application, web browsers, video or othermultimedia streaming or downloading application, video games, socialnetwork applications, email clients, RSS management applications,application stores, document management applications, productivityenhancement applications, etc. The applications can be provided with thedevice OS, by the device manufacturer, by the network service provider,downloaded by the user, or provided by others.

One embodiment of the local proxy 275 includes or is coupled to acontext API 206, as shown. The context API 206 may be a part of theoperating system 204 or device platform or independent of the operatingsystem 204, as illustrated. The operating system 204 can include anyoperating system including but not limited to, any previous, current,and/or future versions/releases of, Windows Mobile, iOS, Android,Symbian, Palm OS, Brew MP, Java 2 Micro Edition (J2ME), Blackberry, etc.

The context API 206 may be a plug-in to the operating system 204 or aparticular client/application on the mobile device 250. The context API206 can detect signals indicative of user or device activity, forexample, sensing motion, gesture, device location, changes in devicelocation, device backlight, keystrokes, clicks, activated touch screen,mouse click or detection of other pointer devices. The context API 206can be coupled to input devices or sensors on the mobile device 250 toidentify these signals. Such signals can generally include inputreceived in response to explicit user input at an input device/mechanismat the mobile device 250 and/or collected from ambientsignals/contextual cues detected at or in the vicinity of the mobiledevice 250 (e.g., light, motion, piezoelectric, etc.).

In one embodiment, the user activity module 215 interacts with thecontext API 206 to identify, determine, infer, detect, compute, predict,and/or anticipate, characteristics of user activity on the mobile device250. Various inputs collected by the context API 206 can be aggregatedby the user activity module 215 to generate a profile forcharacteristics of user activity. Such a profile can be generated by theuser activity module 215 with various temporal characteristics. Forinstance, user activity profile can be generated in real-time for agiven instant to provide a view of what the user is doing or not doingat a given time (e.g., defined by a time window, in the last minute, inthe last 30 seconds, etc.), a user activity profile can also begenerated for a ‘session’ defined by an application or web page thatdescribes the characteristics of user behavior with respect to aspecific task they are engaged in on the mobile device 250, or for aspecific time period (e.g., for the last 2 hours, for the last 5 hours).

Additionally, characteristic profiles can be generated by the useractivity module 215 to depict a historical trend for user activity andbehavior (e.g., 1 week, 1 mo., 2 mo., etc.). Such historical profilescan also be used to deduce trends of user behavior, for example, accessfrequency at different times of day, trends for certain days of the week(weekends or week days), user activity trends based on location data(e.g., IP address, GPS, or cell tower coordinate data) or changes inlocation data (e.g., user activity based on user location, or useractivity based on whether the user is on the go, or traveling outside ahome region, etc.) to obtain user activity characteristics.

In one embodiment, user activity module 215 can detect and track useractivity with respect to applications, documents, files, windows, icons,and folders on the mobile device 250. For example, the user activitymodule 215 can detect when an application or window (e.g., a web browseror any other type of application) has been exited, closed, minimized,maximized, opened, moved into the foreground, or into the background,multimedia content playback, etc.

In one embodiment, characteristics of the user activity on the mobiledevice 250 can be used to locally adjust behavior of the device (e.g.,mobile device or any wireless device) to optimize its resourceconsumption such as battery/power consumption and more generally,consumption of other device resources including memory, storage, andprocessing power. In one embodiment, the use of a radio on a device canbe adjusted based on characteristics of user behavior (e.g., by theradio controller 266 of the connection manager 265) coupled to the useractivity module 215. For example, the radio controller 266 can turn theradio on or off, based on characteristics of the user activity on themobile device 250. In addition, the radio controller 266 can adjust thepower mode of the radio (e.g., to be in a higher power mode or lowerpower mode) depending on characteristics of user activity.

In one embodiment, characteristics of the user activity on mobile device250 can also be used to cause another device (e.g., other computers, amobile device, a wireless device, or a non-portable device) or server(e.g., host server 100 and 300 in the examples of FIG. 1B-1D and FIG.3A-FIG. 3B) which can communicate (e.g., via a cellular or othernetwork) with the mobile device 250 to modify its communicationfrequency with the mobile device 250. The local proxy 275 can use thecharacteristics information of user behavior determined by the useractivity module 215 to instruct the remote device as to how to modulateits communication frequency (e.g., decreasing communication frequency,such as data push frequency if the user is idle, requesting that theremote device notify the mobile device 250 if new data, changed, data,or data of a certain level of importance becomes available, etc.).

In one embodiment, the user activity module 215 can, in response todetermining that user activity characteristics indicate that a user isactive after a period of inactivity, request that a remote device (e.g.,host server 100 and 300 in the examples of FIG. 1B-1D and FIG. 3A-FIG.3B) send the data that was buffered as a result of the previouslydecreased communication frequency.

In addition, or in alternative, the local proxy 275 can communicate thecharacteristics of user activity at the mobile device 250 to the remotedevice (e.g., host server 100 and 300 in the examples of FIG. 1B-1D andFIG. 3A-FIG. 3B) and the remote device determines how to alter its owncommunication frequency with the mobile device 250 for network resourceconservation and conservation of device 250 resources.

One embodiment of the local proxy 275 further includes arequest/transaction manager 235, which can detect, identify, intercept,process, manage, data requests initiated on the mobile device 250, forexample, by applications 210 and/or 220, and/or directly/indirectly by auser request. The request/transaction manager 235 can determine how andwhen to process a given request or transaction, or a set ofrequests/transactions, based on transaction characteristics.

The request/transaction manager 235 can prioritize requests ortransactions made by applications and/or users at the mobile device 250,for example by the prioritization engine 241. Importance or priority ofrequests/transactions can be determined by the request/transactionmanager 235 by applying a rule set, for example, according to timesensitivity of the transaction, time sensitivity of the content in thetransaction, time criticality of the transaction, time criticality ofthe data transmitted in the transaction, and/or time criticality orimportance of an application making the request.

In addition, transaction characteristics can also depend on whether thetransaction was a result of user-interaction or other user-initiatedaction on the device (e.g., user interaction with a application (e.g., amobile application)). In general, a time critical transaction caninclude a transaction resulting from a user-initiated data transfer, andcan be prioritized as such. Transaction characteristics can also dependon the amount of data that will be transferred or is anticipated to betransferred as a result of the requested transaction. For example, theconnection manager 265, can adjust the radio mode (e.g., high power orlow power mode via the radio controller 266) based on the amount of datathat will need to be transferred.

In addition, the radio controller 266/connection manager 265 can adjustthe radio power mode (high or low) based on time criticality/sensitivityof the transaction. The radio controller 266 can trigger the use of highpower radio mode when a time-critical transaction (e.g., a transactionresulting from a user-initiated data transfer, an application running inthe foreground, any other event meeting a certain criteria) is initiatedor detected.

In general, the priorities can be set by default, for example, based ondevice platform, device manufacturer, operating system, etc. Prioritiescan alternatively or in additionally be set by the particularapplication; for example, the Facebook application (e.g., a mobileapplication) can set its own priorities for various transactions (e.g.,a status update can be of higher priority than an add friend request ora poke request, a message send request can be of higher priority than amessage delete request, for example), an email client or IM chat clientmay have its own configurations for priority. The prioritization engine241 may include set of rules for assigning priority.

The prioritization engine 241 can also track network providerlimitations or specifications on application or transaction priority indetermining an overall priority status for a request/transaction.Furthermore, priority can in part or in whole be determined by userpreferences, either explicit or implicit. A user, can in general, setpriorities at different tiers, such as, specific priorities forsessions, or types, or applications (e.g., a browsing session, a gamingsession, versus an IM chat session, the user may set a gaming session toalways have higher priority than an IM chat session, which may havehigher priority than web-browsing session). A user can setapplication-specific priorities, (e.g., a user may set Facebook-relatedtransactions to have a higher priority than LinkedIn-relatedtransactions), for specific transaction types (e.g., for all sendmessage requests across all applications to have higher priority thanmessage delete requests, for all calendar-related events to have a highpriority, etc.), and/or for specific folders.

The prioritization engine 241 can track and resolve conflicts inpriorities set by different entities. For example, manual settingsspecified by the user may take precedence over device OS settings,network provider parameters/limitations (e.g., set in default for anetwork service area, geographic locale, set for a specific time of day,or set based on service/fee type) may limit any user-specified settingsand/or application-set priorities. In some instances, a manualsynchronization request received from a user can override some, most, orall priority settings in that the requested synchronization is performedwhen requested, regardless of the individually assigned priority or anoverall priority ranking for the requested action.

Priority can be specified and tracked internally in any known and/orconvenient manner, including but not limited to, a binaryrepresentation, a multi-valued representation, a graded representationand all are considered to be within the scope of the disclosedtechnology.

TABLE I Change Change (initiated on device) Priority (initiated onserver) Priority Send email High Receive email High Delete email LowEdit email Often not possible to sync (Un)read email Low (Low ifpossible) Move message Low New email in deleted items Low Read more HighDelete an email Low Download High (Un)Read an email Low attachment Movemessages Low New Calendar event High Any calendar change HighEdit/change Calendar event High Any contact change High Add a contactHigh Wipe/lock device High Edit a contact High Settings change HighSearch contacts High Any folder change High Change a setting HighConnector restart High (if no changes nothing is Manual send/receiveHigh sent) IM status change Medium Social Network Status Updates MediumAuction outbid or change High Sever Weather Alerts High notificationNews Updates Low Weather Updates Low

Table I above shows, for illustration purposes, some examples oftransactions with examples of assigned priorities in a binaryrepresentation scheme. Additional assignments are possible foradditional types of events, requests, transactions, and as previouslydescribed, priority assignments can be made at more or less granularlevels, e.g., at the session level or at the application level, etc.

As shown by way of example in the above table, in general, lowerpriority requests/transactions can include, updating message status asbeing read, unread, deleting of messages, deletion of contacts; higherpriority requests/transactions, can in some instances include, statusupdates, new IM chat message, new email, calendar eventupdate/cancellation/deletion, an event in a mobile gaming session, orother entertainment related events, a purchase confirmation through aweb purchase or online, request to load additional or download content,contact book related events, a transaction to change a device setting,location-aware or location-based events/transactions, or any otherevents/request/transactions initiated by a user or where the user isknown to be, expected to be, or suspected to be waiting for a response,etc.

Inbox pruning events (e.g., email, or any other types of messages), aregenerally considered low priority and absent other impending events,generally will not trigger use of the radio on the mobile device 250.Specifically, pruning events to remove old email or other content can be‘piggy backed’ with other communications if the radio is not otherwiseon, at the time of a scheduled pruning event. For example, if the userhas preferences set to ‘keep messages for 7 days old,’ then instead ofpowering on the device radio to initiate a message delete from themobile device 250 the moment that the message has exceeded 7 days old,the message is deleted when the radio is powered on next. If the radiois already on, then pruning may occur as regularly scheduled.

The request/transaction manager 235, can use the priorities for requests(e.g., by the prioritization engine 241) to manage outgoing traffic fromthe mobile device 250 for resource optimization (e.g., to utilize thedevice radio more efficiently for battery conservation). For example,transactions/requests below a certain priority ranking may not triggeruse of the radio on the mobile device 250 if the radio is not alreadyswitched on, as controlled by the connection manager 265. In contrast,the radio controller 266 can turn on the radio such a request can besent when a request for a transaction is detected to be over a certainpriority level.

In one embodiment, priority assignments (such as that determined by thelocal proxy 275 or another device/entity) can be used cause a remotedevice to modify its communication with the frequency with the mobiledevice or wireless device. For example, the remote device can beconfigured to send notifications to the mobile device 250 when data ofhigher importance is available to be sent to the mobile device orwireless device.

In one embodiment, transaction priority can be used in conjunction withcharacteristics of user activity in shaping or managing traffic, forexample, by the traffic shaping engine 255. For example, the trafficshaping engine 255 can, in response to detecting that a user is dormantor inactive, wait to send low priority transactions from the mobiledevice 250, for a period of time. In addition, the traffic shapingengine 255 can allow multiple low priority transactions to accumulatefor batch transferring from the mobile device 250 (e.g., via thebatching module 257). In one embodiment, the priorities can be set,configured, or readjusted by a user. For example, content depicted inTable I in the same or similar form can be accessible in a userinterface on the mobile device 250 and for example, used by the user toadjust or view the priorities.

The batching module 257 can initiate batch transfer based on certaincriteria. For example, batch transfer (e.g., of multiple occurrences ofevents, some of which occurred at different instances in time) may occurafter a certain number of low priority events have been detected, orafter an amount of time elapsed after the first of the low priorityevent was initiated. In addition, the batching module 257 can initiatebatch transfer of the cumulated low priority events when a higherpriority event is initiated or detected at the mobile device 250. Batchtransfer can otherwise be initiated when radio use is triggered foranother reason (e.g., to receive data from a remote device such as hostserver 100 or 300). In one embodiment, an impending pruning event(pruning of an inbox), or any other low priority events, can be executedwhen a batch transfer occurs.

In general, the batching capability can be disabled or enabled at theevent/transaction level, application level, or session level, based onany one or combination of the following: user configuration, devicelimitations/settings, manufacturer specification, network providerparameters/limitations, platform-specific limitations/settings, deviceOS settings, etc. In one embodiment, batch transfer can be initiatedwhen an application/window/file is closed out, exited, or moved into thebackground; users can optionally be prompted before initiating a batchtransfer; users can also manually trigger batch transfers.

In one embodiment, the local proxy 275 locally adjusts radio use on themobile device 250 by caching data in the cache 285. When requests ortransactions from the mobile device 250 can be satisfied by contentstored in the cache 285, the radio controller 266 need not activate theradio to send the request to a remote entity (e.g., host server 100 and300 in the examples of FIG. 1B-1D and FIG. 3A-FIG. 3B or a contentprovider/application server such as the server/provider 110 shown in theexamples of FIG. 1B and FIG. 1C). As such, the local proxy 275 can usethe local cache 285 and the cache policy manager 245 to locally storedata for satisfying data requests to eliminate or reduce the use of thedevice radio for conservation of network resources and device batteryconsumption.

In leveraging the local cache, once the request/transaction manager 225intercepts a data request by an application on the mobile device 250,the local repository 285 can be queried to determine if there is anylocally stored response, and also determine whether the response isvalid. When a valid response is available in the local cache 285, theresponse can be provided to the application on the mobile device 250without the mobile device 250 needing to access the cellular network orwireless broadband network.

If a valid response is not available, the local proxy 275 can query aremote proxy (e.g., the server proxy 325 of FIG. 3A) to determinewhether a remotely stored response is valid. If so, the remotely storedresponse (e.g., which may be stored on the server cache 135 or optionalcaching server 199 shown in the example of FIG. 1C) can be provided tothe mobile device, possibly without the mobile device 250 needing toaccess the cellular network, thus relieving consumption of networkresources.

If a valid cache response is not available, or if cache responses areunavailable for the intercepted data request, the local proxy 275, forexample, the caching policy manager 245, can send the data request to aremote proxy (e.g., the server 100 in the examples of FIG. 1B-1F and/orserver proxy 125/325 shown in the examples of FIG. 1B-FIG. 1D, FIG.3A-FIG. 3B, and FIG. 5A-5C) which forwards the data request to a contentsource (e.g., application server/content provider 110 of FIG. 1B-FIG.1C) and a response from the content source can be provided through theremote proxy, as will be further described in the description associatedwith the example host server 300 of FIG. 3 and FIG. 5. The cache policymanager 245 can manage or process requests that use a variety ofprotocols, including but not limited to HTTP, HTTPS, IMAP, POP, SMTP,XMPP, and/or ActiveSync. The caching policy manager 245 can locallystore responses for data requests in the local database 285 as cacheentries, for subsequent use in satisfying same or similar data requests.

The caching policy manager 245 can request that the remote proxy monitorresponses for the data request and the remote proxy can notify themobile device 250 when an unexpected response to the data request isdetected. In such an event, the cache policy manager 245 can erase orreplace the locally stored response(s) on the mobile device 250 whennotified of the unexpected response (e.g., new data, changed data,additional data, etc.) to the data request. In one embodiment, thecaching policy manager 245 is able to detect or identify the protocolused for a specific request, including but not limited to HTTP, HTTPS,IMAP, POP, SMTP, XMPP, and/or ActiveSync. In one embodiment, applicationspecific handlers (e.g., via the application protocol module 246 of thecaching policy manager 245) on the local proxy 275 allows foroptimization of any protocol that can be port mapped to a handler in thedistributed proxy (e.g., port mapped on the proxy server 325 in theexample of FIG. 3A and FIG. 5A).

In one embodiment, the local proxy 275 notifies the remote proxy suchthat the remote proxy can monitor responses received for the datarequest from the content source for changed results prior to returningthe result to the mobile device 250, for example, when the data requestto the content source has yielded same results to be returned to themobile device. In general, the local proxy 275 can simulate applicationserver responses for applications on the mobile device 250, usinglocally cached content. This can prevent utilization of the cellularnetwork for transactions where new/changed data is not available, thusfreeing up network resources and preventing network congestion.

In one embodiment, the local proxy 275 includes an application behaviordetector 236 to track, detect, observe, monitor, applications (e.g.,proxy-aware and/or unaware applications 210 and 220) accessed orinstalled on the mobile device 250. Application behaviors, or patternsin detected behaviors (e.g., via the pattern detector 237) of one ormore applications accessed on the mobile device 250 can be used by thelocal proxy 275 to optimize traffic in a wireless network needed tosatisfy the data needs of these applications.

For example, based on detected behavior of multiple applications, thetraffic shaping engine 255 can align content requests made by at leastsome of the applications over the network (wireless network) (e.g., viathe alignment module 256). The alignment module 256 can delay orexpedite some earlier received requests to achieve alignment. Whenrequests are aligned, the traffic shaping engine 255 can utilize theconnection manager to poll over the network to satisfy application datarequests. Content requests for multiple applications can be alignedbased on behavior patterns or rules/settings including, for example,content types requested by the multiple applications (audio, video,text, etc.), device (e.g., mobile or wireless device) parameters, and/ornetwork parameters/traffic conditions, network service providerconstraints/specifications, etc.

In one embodiment, the pattern detector 237 can detect recurrences inapplication requests made by the multiple applications, for example, bytracking patterns in application behavior. A tracked pattern caninclude, detecting that certain applications, as a background process,poll an application server regularly, at certain times of day, oncertain days of the week, periodically in a predictable fashion, with acertain frequency, with a certain frequency in response to a certaintype of event, in response to a certain type user query, frequency thatrequested content is the same, frequency with which a same request ismade, interval between requests, applications making a request, or anycombination of the above, for example.

Such recurrences can be used by traffic shaping engine 255 to offloadpolling of content from a content source (e.g., from an applicationserver/content provider 110 of FIG. 1B-FIG. 1C) that would result fromthe application requests that would be performed at the mobile device orwireless device 250 to be performed instead, by a proxy server (e.g.,the proxy server 125 of FIG. 1C or proxy server 325 of FIG. 3A-3B andFIG. 5A-5C) remote from the mobile device 250. Traffic shaping engine255 can decide to offload the polling when the recurrences match a rule.For example, there are multiple occurrences or requests for the sameresource that have exactly the same content, or returned value, or basedon detection of repeatable time periods between requests and responsessuch as a resource that is requested at specific times during the day.The offloading of the polling can decrease the amount of bandwidthconsumption needed by the mobile device 250 to establish a wireless(cellular or other wireless broadband) connection with the contentsource for repetitive content polls.

As a result of the offloading of the polling, locally cached contentstored in the local cache 285 can be provided to satisfy data requestsat the mobile device 250, when content change is not detected in thepolling of the content sources. As such, when data has not changed,application data needs can be satisfied without needing to enable radiouse or occupying cellular bandwidth in a wireless network. When data haschanged and/or new data has been received, the remote entity to whichpolling is offloaded, can notify the mobile device 250. The remoteentity may be the host server 100 or 300 as shown in the examples ofFIG. 1B-FIG. 1C and FIG. 3A-FIG. 3B.

In one embodiment, the local proxy 275 can mitigate the need/use ofperiodic keep-alive messages (heartbeat messages) to maintain TCP/IPconnections, which can consume significant amounts of power thus havingdetrimental impacts on mobile device battery life. The connectionmanager 265 in the local proxy (e.g., the heartbeat manager 267) candetect, identify, and intercept any or all heartbeat (keep-alive)messages being sent from applications.

The heartbeat manager 267 can prevent any or all of these heartbeatmessages from being sent over the cellular, or other network, andinstead rely on the server components or server-side components of thedistributed proxy and/or caching system (e.g., shown in FIG. 1C) togenerate and send the heartbeat messages to maintain a connection withthe backend (e.g., application server/provider 110 in the example ofFIG. 1B and FIG. 1C).

The local proxy 275 generally represents any one or a portion of thefunctions described for the individual managers, modules, and/orengines. The local proxy 275 and device 250 can include additional orless components; more or less functions can be included, in whole or inpart, without deviating from the novel art of the disclosure.

FIG. 4B depicts a block diagram illustrating a further example ofcomponents in the cache system shown in the example of FIG. 4A which iscapable of caching and adapting caching strategies for mobileapplication behavior and/or network conditions.

In one embodiment, the caching policy manager 245 includes a metadatagenerator 203, a cache look-up engine 205, a cache appropriatenessdecision engine 246, a poll schedule generator 247, an applicationprotocol module 248, a cache or connect selection engine 249 and/or alocal cache invalidator 244. The cache appropriateness decision engine246 can further include a timing predictor 246 a, a content predictor246 b, a request analyzer 246 c, and/or a response analyzer 246 d, andthe cache or connect selection engine 249 includes a response scheduler249 a. The metadata generator 203 and/or the cache look-up engine 205are coupled to the cache 285 (or local cache) for modification oraddition to cache entries or querying thereof.

The cache look-up engine 205 may further include an ID or URI filter 205a, the local cache invalidator 244 may further include a TTL manager 244a, and the poll schedule generator 247 may further include a scheduleupdate engine 247 a and/or a time adjustment engine 247 b. Oneembodiment of caching policy manager 245 includes an application cachepolicy repository 243. In one embodiment, the application behaviordetector 236 includes a pattern detector 237, a poll interval detector238, an application profile generator 239, and/or a priority engine 241.The poll interval detector 238 may further include a long poll detector238 a having a response/request tracking engine 238 b. The poll intervaldetector 238 may further include a long poll hunting detector 238 c. Theapplication profile generator 239 can further include a response delayinterval tracker 239 a.

The pattern detector 237, application profile generator 239, and thepriority engine 241 were also described in association with thedescription of the pattern detector shown in the example of FIG. 4A. Oneembodiment further includes an application profile repository 242 whichcan be used by the local proxy 275 to store information or metadataregarding application profiles (e.g., behavior, patterns, type of HTTPrequests, etc.)

The cache appropriateness decision engine 246 can detect, assess, ordetermine whether content from a content source (e.g., applicationserver/content provider 110 in the example of FIG. 1B-FIG. 1C) withwhich a mobile device 250 interacts and has content that may be suitablefor caching. For example, the decision engine 246 can use informationabout a request and/or a response received for the request initiated atthe mobile device 250 to determine cacheability, potential cacheability,or non-cacheability. In some instances, the decision engine 246 caninitially verify whether a request is directed to a blacklisteddestination or whether the request itself originates from a blacklistedclient or application. If so, additional processing and analysis may notbe performed by the decision engine 246 and the request may be allowedto be sent over the air to the server to satisfy the request. The blacklisted destinations or applications/clients (e.g., mobile applications)can be maintained locally in the local proxy (e.g., in the applicationprofile repository 242) or remotely (e.g., in the proxy server 325 oranother entity).

In one embodiment, the decision engine 246, for example, via the requestanalyzer 246 c, collects information about an application or clientrequest generated at the mobile device 250. The request information caninclude request characteristics information including, for example,request method. For example, the request method can indicate the type ofHTTP request generated by the mobile application or client. In oneembodiment, response to a request can be identified as cacheable orpotentially cacheable if the request method is a GET request or POSTrequest. Other types of requests (e.g., OPTIONS, HEAD, PUT, DELETE,TRACE, or CONNECT) may or may not be cached. In general, HTTP requestswith uncacheable request methods will not be cached.

Request characteristics information can further include informationregarding request size, for example. Responses to requests (e.g., HTTPrequests) with body size exceeding a certain size will not be cached.For example, cacheability can be determined if the information about therequest indicates that a request body size of the request does notexceed a certain size. In some instances, the maximum cacheable requestbody size can be set to 8092 bytes. In other instances, different valuesmay be used, dependent on network capacity or network operator specificsettings, for example.

In some instances, content from a given application server/contentprovider (e.g., the server/content provider 110 of FIG. 1B and FIG. 1C)is determined to be suitable for caching based on a set of criteria, forexample, criteria specifying time criticality of the content that isbeing requested from the content source. In one embodiment, the localproxy (e.g., the local proxy 175 or 275 of FIG. 1B-FIG. 1C and FIG.2A-2B and FIG. 4A-4C) applies a selection criteria to store the contentfrom the host server which is requested by an application as cachedelements in a local cache on the mobile device to satisfy subsequentrequests made by the application.

The cache appropriateness decision engine 246, further based on detectedpatterns of requests sent from the mobile device 250 (e.g., by a mobileapplication or other types of clients on the mobile device 250) and/orpatterns of received responses, can detect predictability in requestsand/or responses. For example, the request characteristics informationcollected by the decision engine 246, (e.g., the request analyzer 246 c)can further include periodicity information between a request and otherrequests generated by a same client on the mobile device or otherrequests directed to the same host (e.g., with similar or sameidentifier parameters).

Periodicity can be detected, by the decision engine 246 or the requestanalyzer 246 c, when the request and the other requests generated by thesame client occur at a fixed rate or nearly fixed rate, or at a dynamicrate with some identifiable or partially or wholly reproducible changingpattern. If the requests are made with some identifiable pattern (e.g.,regular intervals, intervals having a detectable pattern, or trend(e.g., increasing, decreasing, constant, etc.) the timing predictor 246a can determine that the requests made by a given application on adevice is predictable and identify it to be potentially appropriate forcaching, at least from a timing standpoint.

An identifiable pattern or trend can generally include any applicationor client behavior which may be simulated either locally, for example,on the local proxy 275 on the mobile device 250 or simulated remotely,for example, by the proxy server 325 on the host 300, or a combinationof local and remote simulation to emulate application behavior.

In one embodiment, the decision engine 246, for example, via theresponse analyzer 246 d, can collect information about a response to anapplication or client request generated at the mobile device 250. Theresponse is typically received from a server or the host of theapplication (e.g., mobile application) or client which sent the requestat the mobile device 250. In some instances, the mobile client orapplication can be the mobile version of an application (e.g., socialnetworking, search, travel management, voicemail, contact manager,email) or a web site accessed via a web browser or via a desktop client.

For example, response characteristics information can include anindication of whether transfer encoding or chunked transfer encoding isused in sending the response. In some instances, responses to HTTPrequests with transfer encoding or chunked transfer encoding are notcached, and therefore are also removed from further analysis. Therationale here is that chunked responses are usually large andnon-optimal for caching, since the processing of these transactions maylikely slow down the overall performance. Therefore, in one embodiment,cacheability or potential for cacheability can be determined whentransfer encoding is not used in sending the response.

In addition, the response characteristics information can include anassociated status code of the response which can be identified by theresponse analyzer 246 d. In some instances, HTTP responses withuncacheable status codes are typically not cached. The response analyzer246 d can extract the status code from the response and determinewhether it matches a status code which is cacheable or uncacheable. Somecacheable status codes include by way of example: 200—OK, 301—Redirect,302—Found, 303—See other, 304—Not Modified, 307Temporary Redirect, or500—Internal server error. Some uncacheable status codes can include,for example, 403—Forbidden or 404—Not found.

In one embodiment, cacheability or potential for cacheability can bedetermined if the information about the response does not indicate anuncacheable status code or indicates a cacheable status code. If theresponse analyzer 246 d detects an uncacheable status code associatedwith a given response, the specific transaction (request/response pair)may be eliminated from further processing and determined to beuncacheable on a temporary basis, a semi-permanent, or a permanentbasis. If the status code indicates cacheability, the transaction (e.g.,request and/or response pair) may be subject to further processing andanalysis to confirm cacheability.

Response characteristics information can also include response sizeinformation. In general, responses can be cached locally at the mobiledevice 250 if the responses do not exceed a certain size. In someinstances, the default maximum cached response size is set to 115 KB. Inother instances, the max cacheable response size may be different and/ordynamically adjusted based on operating conditions, network conditions,network capacity, user preferences, network operator requirements, orother application-specific, user specific, and/or device-specificreasons. In one embodiment, the response analyzer 246 d can identify thesize of the response, and cacheability or potential for cacheability canbe determined if a given threshold or max value is not exceeded by theresponse size.

Furthermore, response characteristics information can include responsebody information for the response to the request and other response toother requests generated by a same client on the mobile device, ordirected to a same content host or application server. The response bodyinformation for the response and the other responses can be compared,for example, by the response analyzer 246 d, to prevent the caching ofdynamic content (or responses with content that changes frequently andcannot be efficiently served with cache entries, such as financial data,stock quotes, news feeds, real-time sporting event activities, etc.),such as content that would no longer be relevant or up-to-date if servedfrom cached entries.

The cache appropriateness decision engine 246 (e.g., the contentpredictor 246 b) can definitively identify repeatability or identifyindications of repeatability, potential repeatability, or predictabilityin responses received from a content source (e.g., the contenthost/application server 110 shown in the example of FIG. 1B and FIG.1C). Repeatability can be detected by, for example, tracking at leasttwo responses received from the content source and determines if the tworesponses are the same. For example, cacheability can be determined, bythe response analyzer 246 d, if the response body information for theresponse and the other responses sent by the same mobile client ordirected to the same host/server are same or substantially the same. Thetwo responses may or may not be responses sent in response toconsecutive requests. In one embodiment, hash values of the responsesreceived for requests from a given application are used to determinerepeatability of content (with or without heuristics) for theapplication in general and/or for the specific request. Additional sameresponses may be required for some applications or under certaincircumstances.

Repeatability in received content need not be 100% ascertained. Forexample, responses can be determined to be repeatable if a certainnumber or a certain percentage of responses are the same, or similar.The certain number or certain percentage of same/similar responses canbe tracked over a select period of time, set by default or set based onthe application generating the requests (e.g., whether the applicationis highly dynamic with constant updates or less dynamic with infrequentupdates). Any indicated predictability or repeatability, or possiblerepeatability, can be utilized by the distributed system in cachingcontent to be provided to a requesting application or client on themobile device 250.

In one embodiment, the timing predictor 246 a of the cacheappropriateness decision engine 246 can track timing of responsesreceived from outgoing requests from an application (e.g., mobileapplication) or client to detect any identifiable patterns which can bepartially wholly reproducible, such that locally cached responses can beprovided to the requesting client on the mobile device 250 in a mannerthat simulates content source (e.g., application server/content provider110 or 310) behavior. For example, the manner in which (e.g., from atiming standpoint) responses or content would be delivered to therequesting application/client on the mobile device 250. This ensurespreservation of user experience when responses to application or mobileclient requests are served from a local and/or remote cache instead ofbeing retrieved/received directly from the content source (e.g.,application, content provider 110 or 310).

In one embodiment, the decision engine 246 or the timing predictor 246 adetermines the timing characteristics a given application (e.g., mobileapplication) or client from, for example, the request/response trackingengine 238 b and/or the application profile generator 239 (e.g., theresponse delay interval tracker 239 a). Using the timingcharacteristics, the timing predictor 246 a determines whether thecontent received in response to the requests are suitable or arepotentially suitable for caching. For example, poll request intervalsbetween two consecutive requests from a given application can be used todetermine whether request intervals are repeatable (e.g., constant, nearconstant, increasing with a pattern, decreasing with a pattern, etc.)and can be predicted and thus reproduced at least some of the timeseither exactly or approximated within a tolerance level.

In some instances, the timing characteristics of a given request typefor a specific application, for multiple requests of an application, orfor multiple applications can be stored in the application profilerepository 242. The application profile repository 242 can generallystore any type of information or metadata regarding applicationrequest/response characteristics including timing patterns, timingrepeatability, content repeatability, etc.

The application profile repository 242 can also store metadataindicating the type of request used by a given application (e.g., longpolls, long-held HTTP requests, HTTP streaming, push, COMET push, etc.)Application profiles indicating request type by applications can be usedwhen subsequent same/similar requests are detected, or when requests aredetected from an application which has already been categorized. In thismanner, timing characteristics for the given request type or forrequests of a specific application which has been tracked and/oranalyzed, need not be reanalyzed.

Application profiles can be associated with a time-to-live (e.g., or adefault expiration time). The use of an expiration time for applicationprofiles, or for various aspects of an application or request's profilecan be used on a case by case basis. The time-to-live or actualexpiration time of application profile entries can be set to a defaultvalue or determined individually, or a combination thereof. Applicationprofiles can also be specific to wireless networks, physical networks,network operators, or specific carriers.

One embodiment includes an application blacklist manager 201. Theapplication blacklist manager 201 can be coupled to the applicationcache policy repository 243 and can be partially or wholly internal tolocal proxy or the caching policy manager 245. Similarly, the blacklistmanager 201 can be partially or wholly internal to local proxy or theapplication behavior detector 236. The blacklist manager 201 canaggregate, track, update, manage, adjust, or dynamically monitor a listof destinations of servers/host that are ‘blacklisted,’ or identified asnot cached, on a permanent or temporary basis. The blacklist ofdestinations, when identified in a request, can potentially be used toallow the request to be sent over the (cellular) network for servicing.Additional processing on the request may not be performed since it isdetected to be directed to a blacklisted destination.

Blacklisted destinations can be identified in the application cachepolicy repository 243 by address identifiers including specific URIs orpatterns of identifiers including URI patterns. In general, blacklisteddestinations can be set by or modified for any reason by any partyincluding the user (owner/user of mobile device 250), operatingsystem/mobile platform of device 250, the destination itself, networkoperator (of cellular network), Internet service provider, other thirdparties, or according to a list of destinations for applications knownto be uncacheable/not suited for caching. Some entries in theblacklisted destinations may include destinations aggregated based onthe analysis or processing performed by the local proxy (e.g., cacheappropriateness decision engine 246).

For example, applications or mobile clients on the mobile device forwhich responses have been identified as non-suitable for caching can beadded to the blacklist Their corresponding hosts/servers may be added inaddition to or in lieu of an identification of the requestingapplication/client on the mobile device 250. Some or all of such clientsidentified by the proxy system can be added to the blacklist. Forexample, for all application clients or applications that aretemporarily identified as not being suitable for caching, only thosewith certain detected characteristics (based on timing, periodicity,frequency of response content change, content predictability, size,etc.) can be blacklisted.

The blacklisted entries may include a list of requesting applications orrequesting clients on the mobile device (rather than destinations) suchthat, when a request is detected from a given application or givenclient, it may be sent through the network for a response, sinceresponses for blacklisted clients/applications are in most circumstancesnot cached.

A given application profile may also be treated or processed differently(e.g., different behavior of the local proxy 275 and the remote proxy325) depending on the mobile account associated with a mobile devicefrom which the application is being accessed. For example, a higherpaying account, or a premier account may allow more frequent access ofthe wireless network or higher bandwidth allowance thus affecting thecaching policies implemented between the local proxy 275 and proxyserver 325 with an emphasis on better performance compared toconservation of resources. A given application profile may also betreated or processed differently under different wireless networkconditions (e.g., based on congestion or network outage, etc.).

Note that cache appropriateness can be determined, tracked, and managedfor multiple clients or applications on the mobile device 250. Cacheappropriateness can also be determined for different requests or requesttypes initiated by a given client or application on the mobile device250. The caching policy manager 245, along with the timing predictor 246a and/or the content predictor 246 b which heuristically determines orestimates predictability or potential predictability, can track, manageand store cacheability information for various application or variousrequests for a given application. Cacheability information may alsoinclude conditions (e.g., an application can be cached at certain timesof the day, or certain days of the week, or certain requests of a givenapplication can be cached, or all requests with a given destinationaddress can be cached) under which caching is appropriate which can bedetermined and/or tracked by the cache appropriateness decision engine246 and stored and/or updated when appropriate in the application cachepolicy repository 243 coupled to the cache appropriateness decisionengine 246.

The information in the application cache policy repository 243 regardingcacheability of requests, applications, and/or associated conditions canbe used later on when same requests are detected. In this manner, thedecision engine 246 and/or the timing and content predictors 246 a/bneed not track and reanalyze request/response timing and contentcharacteristics to make an assessment regarding cacheability. Inaddition, the cacheability information can in some instances be sharedwith local proxies of other mobile devices by way of directcommunication or via the host server (e.g., proxy server 325 of hostserver 300).

For example, cacheability information detected by the local proxy 275 onvarious mobile devices can be sent to a remote host server or a proxyserver 325 on the host server (e.g., host server 300 or proxy server 325shown in the example of FIG. 3A-3B and FIG. 5A-5C, host 100 and proxyserver 125 in the example of FIG. 1B-1F). The remote host or proxyserver can then distribute the information regardingapplication-specific, request-specific cacheability information and/orany associated conditions to various mobile devices or their localproxies in a wireless network or across multiple wireless networks (sameservice provider or multiple wireless service providers) for their use.

In general, the selection criteria for caching can further include, byway of example but not limitation, the state of the mobile deviceindicating whether the mobile device is active or inactive, networkconditions, and/or radio coverage statistics. The cache appropriatenessdecision engine 246 can in any one or any combination of the criteria,and in any order, identifying sources for which caching may be suitable.

Once application servers/content providers having identified or detectedcontent that is potentially suitable for local caching on the mobiledevice 250, the cache policy manager 245 can proceed to cache theassociated content received from the identified sources by storingcontent received from the content source as cache elements in a localcache (e.g., local cache 185 or 285 shown in the examples of FIG. 1B-1C,FIG. 2A and FIG. 4A, respectively) on the mobile device 250.

The response can be stored in the cache 285 (e.g., also referred as thelocal cache) as a cache entry. In addition to the response to a request,the cached entry can include response metadata having additionalinformation regarding caching of the response. The metadata may begenerated by the metadata generator 203 and can include, for example,timing data such as the access time of the cache entry or creation timeof the cache entry. Metadata can include additional information, such asany information suited for use in determining whether the responsestored as the cached entry is used to satisfy the subsequent response.For example, metadata information can further include, request timinghistory (e.g., including request time, request start time, request endtime), hash of the request and/or response, time intervals or changes intime intervals, etc.

The cache entry is typically stored in the cache 285 in association witha time-to-live (TTL), which for example may be assigned or determined bythe TTL manager 244 a of the cache invalidator 244. The time-to-live ofa cache entry is the amount of time the entry is persisted in the cache285 regardless of whether the response is still valid or relevant for agiven request or client/application on the mobile device 250. Forexample, if the time-to-live of a given cache entry is set to 12 hours,the cache entry is purged, removed, or otherwise indicated as havingexceeded the time-to-live, even if the response body contained in thecache entry is still current and applicable for the associated request.

A default time-to-live can be automatically used for all entries unlessotherwise specified (e.g., by the TTL manager 244 a), or each cacheentry can be created with its individual TTL (e.g., determined by theTTL manager 244 a based on various dynamic or static criteria). Notethat each entry can have a single time-to-live associated with both theresponse data and any associated metadata. In some instances, theassociated metadata may have a different time-to-live (e.g., a longertime-to-live) than the response data.

The content source having content for caching can, in addition or inalternate, be identified to a proxy server (e.g., proxy server 125 or325 shown in the examples of FIG. 1B-1C, FIG. 3A and FIG. 5A,respectively) remote from and in wireless communication with the mobiledevice 250 such that the proxy server can monitor the content source(e.g., application server/content provider 110) for new or changed data.Similarly, the local proxy (e.g., the local proxy 175 or 275 of FIG.1B-1C, FIG. 2A and FIG. 4A, respectively) can identify to the proxyserver that content received from a specific application server/contentprovider is being stored as cached elements in the local cache 285.

Once content has been locally cached, the cache policy manager 245, uponreceiving future polling requests to contact the applicationserver/content host (e.g., 110 or 310), can retrieve the cached elementsfrom the local cache to respond to the polling request made at themobile device 250 such that a radio of the mobile device is notactivated to service the polling request. For example, the cache look-upengine 205 can query the cache 285 to identify the response to be servedto a response. The response can be served from the cache in response toidentifying a matching cache entry and also using any metadata storedwith the response in the cache entry. The cache entries can be queriedby the cache look-up engine using a URI of the request or another typeof identifier (e.g., via the ID or URI filter 205 a). The cache-lookupengine 205 can further use the metadata (e.g., extract any timinginformation or other relevant information) stored with the matchingcache entry to determine whether response is still suited for use inbeing served to a current request.

Note that the cache-look-up can be performed by the engine 205 using oneor more of various multiple strategies. In one embodiment, multiplecook-up strategies can be executed sequentially on each entry store dinthe cache 285, until at least one strategy identifies a matching cacheentry. The strategy employed to performing cache look-up can include astrict matching criteria or a matching criteria which allows fornon-matching parameters.

For example, the look-up engine 205 can perform a strict matchingstrategy which searches for an exact match between an identifier (e.g.,a URI for a host or resource) referenced in a present request for whichthe proxy is attempting to identify a cache entry and an identifierstored with the cache entries. In the case where identifiers includeURIs or URLs, the matching algorithm for strict matching will search fora cache entry where all the parameters in the URLs match. For example:

Example 1

1. Cache contains entry for http://test.com/products/2.

2. Request is being made to URI http://test.com/products/

Strict strategy will find a match, since both URIs are same.

Example 2

1. Cache contains entry for http://test.com/products/?query=all

2. Request is being made to URI http://test.com/products/?query=sub

Under the strict strategy outlined above, a match will not be foundsince the URIs differ in the query parameter.

In another example strategy, the look-up engine 205 looks for a cacheentry with an identifier that partially matches the identifierreferences in a present request for which the proxy is attempting toidentify a matching cache entry. For example, the look-up engine 205 maylook for a cache entry with an identifier which differs from the requestidentifier by a query parameter value. In utilizing this strategy, thelook-up engine 205 can collect information collected for multipleprevious requests (e.g., a list of arbitrary parameters in anidentifier) to be later checked with the detected arbitrary parameter inthe current request. For example, in the case where cache entries arestored with URI or URL identifiers, the look-up engine searches for acache entry with a URI differing by a query parameter. If found, theengine 205 can examine the cache entry for information collected duringprevious requests (e.g. a list of arbitrary parameters) and checkedwhether the arbitrary parameter detected in or extracted from thecurrent URI/URL belongs to the arbitrary parameters list.

Example 1

1. Cache contains entry for http://test.com/products/?query=all, wherequery is marked as arbitrary.

2. Request is being made to URI http://text.com/products/?query=sub

Match will be found, since query parameter is marked as arbitrary.

Example 2

1. Cache contains entry for http://test.com/products/?query=all, wherequery is marked as arbitrary.

2. Request is being made to URIhttp://test.com/products/?query=sub&sort=asc

Match will not be found, since current request contains sort parameterwhich is not marked as arbitrary in the cache entry.

Additional strategies for detecting cache hit may be employed. Thesestrategies can be implemented singly or in any combination thereof. Acache-hit can be determined when any one of these strategies determinesa match. A cache miss may be indicated when the look-up engine 205determines that the requested data cannot be served from the cache 285,for any reason. For example, a cache miss may be determined when nocache entries are identified for any or all utilized look-up strategies.

Cache miss may also be determined when a matching cache entry exists butdetermined to be invalid or irrelevant for the current request. Forexample, the look-up engine 205 may further analyze metadata (e.g.,which may include timing data of the cache entry) associated with thematching cache entry to determine whether it is still suitable for usein responding to the present request.

When the look-up engine 205 has identified a cache hit (e.g., an eventindicating that the requested data can be served from the cache), thestored response in the matching cache entry can be served from the cacheto satisfy the request of an application/client.

By servicing requests using cache entries stored in cache 285, networkbandwidth and other resources need not be used to request/receive pollresponses which may have not changed from a response that has alreadybeen received at the mobile device 250. Such servicing and fulfillingapplication (e.g., mobile application) requests locally via cacheentries in the local cache 285 allows for more efficient resource andmobile network traffic utilization and management since the request neednot be sent over the wireless network further consuming bandwidth. Ingeneral, the cache 285 can be persisted between power on/off of themobile device 250, and persisted across application/client refreshes andrestarts.

For example, the local proxy 275, upon receipt of an outgoing requestfrom its mobile device 250 or from an application or other type ofclient on the mobile device 250, can intercept the request and determinewhether a cached response is available in the local cache 285 of themobile device 250. If so, the outgoing request is responded to by thelocal proxy 275 using the cached response on the cache of the mobiledevice. As such, the outgoing request can be filled or satisfied withouta need to send the outgoing request over the wireless network, thusconserving network resources and battery consumption.

In one embodiment, the responding to the requesting application/clienton the mobile device 250 is timed to correspond to a manner in which thecontent server would have responded to the outgoing request over apersistent connection (e.g., over the persistent connection, orlong-held HTTP connection, long poll type connection, that would havebeen established absent interception by the local proxy). The timing ofthe response can be emulated or simulated by the local proxy 275 topreserve application behavior such that end user experience is notaffected, or minimally affected by serving stored content from the localcache 285 rather than fresh content received from the intended contentsource (e.g., content host/application server 110 of FIG. 1B-FIG. 1C).The timing can be replicated exactly or estimated within a toleranceparameter, which may go unnoticed by the user or treated similarly bythe application so as to not cause operation issues.

One embodiment of the cache policy manager 245 includes a poll schedulegenerator 247 which can generate a polling schedule for one or moreapplications on the mobile device 250. The polling schedule can specifya polling interval that can be employed by an entity which is physicallydistinct and/or separate from the mobile device 250 in monitoring thecontent source for one or more applications (such that cached responsescan be verified periodically by polling a host server (host server 110or 310) to which the request is directed) on behalf of the mobiledevice. One example of such an external entity which can monitor thecontent at the source for the mobile device 250 is a proxy server (e.g.,proxy server 125 or 325 shown in the examples of FIG. 1A-1C and FIG.3A-C).

The polling schedule (e.g., including a rate/frequency of polling) canbe determined, for example, based on the interval between the pollingrequests directed to the content source from the mobile device. Thepolling schedule or rate of polling may be determined at the mobiledevice 250 (by the local proxy). In one embodiment, the poll intervaldetector 238 of the application behavior detector 236 can monitorpolling requests directed to a content source from the mobile device 250in order to determine an interval between the polling requests made fromany or all application (e.g., mobile application).

For example, the poll interval detector 238 can track requests andresponses for applications or clients on the mobile device 250. In oneembodiment, consecutive requests are tracked prior to detection of anoutgoing request initiated from the application (e.g., mobileapplication) on the mobile device 250 by the same mobile client orapplication (e.g., mobile application). The polling rate can bedetermined using request information collected for the request for whichthe response is cached. In one embodiment, the rate is determined fromaverages of time intervals between previous requests generated by thesame client which generated the request. For example, a first intervalmay be computed between the current request and a previous request, anda second interval can be computed between the two previous requests. Thepolling rate can be set from the average of the first interval and thesecond interval and sent to the proxy server in setting up the cachingstrategy.

Alternate intervals may be computed in generating an average; forexample, multiple previous requests in addition to two previous requestsmay be used, and more than two intervals may be used in computing anaverage. In general, in computing intervals, a given request need nothave resulted in a response to be received from the host server/contentsource in order to use it for interval computation. In other words, thetiming characteristics of a given request may be used in intervalcomputation, as long as the request has been detected, even if therequest failed in sending, or if the response retrieval failed.

One embodiment of the poll schedule generator 247 includes a scheduleupdate engine 247 a and/or a time adjustment engine 247 b. The scheduleupdate engine 247 a can determine a need to update a rate or pollinginterval with which a given application server/content host from apreviously set value, based on a detected interval change in the actualrequests generated from a client or application (e.g., mobileapplication) on the mobile device 250.

For example, a request for which a monitoring rate was determined maynow be sent from the application (e.g., mobile application) or client ata different request interval. The scheduled update engine 247 a candetermine the updated polling interval of the actual requests andgenerate a new rate, different from the previously set rate to poll thehost at on behalf of the mobile device 250. The updated polling rate canbe communicated to the remote proxy (proxy server 325) over the cellularnetwork for the remote proxy to monitor the given host. In someinstances, the updated polling rate may be determined at the remoteproxy or remote entity which monitors the host.

In one embodiment, the time adjustment engine 247 b can further optimizethe poll schedule generated to monitor the application server/contentsource (110 or 310). For example, the time adjustment engine 247 b canoptionally specify a time to start polling to the proxy server. Forexample, in addition to setting the polling interval at which the proxyserver is to monitor the application, server/content host can alsospecify the time at which an actual request was generated at the mobileclient/application.

However, in some cases, due to inherent transmission delay or addednetwork delays or other types of latencies, the remote proxy serverreceives the poll setup from the local proxy with some delay (e.g., afew minutes, or a few seconds). This has the effect of detectingresponse change at the source after a request is generated by the mobileclient/application causing the invalidate of the cached response tooccur after it has once again been served to the application after theresponse is no longer current or valid.

To resolve this non-optimal result of serving the out-dated content onceagain before invalidating it, the time adjustment engine 247 b canspecify the time (t0) at which polling should begin in addition to therate, where the specified initial time t0 can be specified to the proxyserver 325 as a time that is less than the actual time when the requestwas generated by the mobile app/client. This way, the server polls theresource slightly before the generation of an actual request by themobile client such that any content change can be detected prior to anactual application request. This prevents invalid or irrelevantout-dated content/response from being served once again before freshcontent is served.

In one embodiment, the cache policy manager 245 sends the pollingschedule to the proxy server (e.g., proxy server 125 or 325 shown in theexamples of FIG. 1A-1C and FIG. 3A) and can be used by the proxy serverin monitoring the content source, for example, for changed or newcontent (updated response different from the cached response associatedwith a request or application).

The local cache invalidator 244 of the caching policy manager 245 caninvalidate cache elements in the local cache (e.g., cache 185 or 285)when new or changed data (e.g., updated response) is detected from theapplication server/content source for a given request. The cachedresponse can be determined to be invalid for the outgoing request basedon a notification received from the proxy server (e.g., proxy 325 or thehost server 300). The source which provides responses to requests of themobile client can be monitored to determine relevancy of the cachedresponse stored in the cache of the mobile device 250 for the request.For example, the cache invalidator 244 can further remove/delete thecached response from the cache of the mobile device when the cachedresponse is no longer valid for a given request or a given application.

In one embodiment, the cached response is removed from the cache afterit is provided once again to an application which generated the outgoingrequest after determining that the cached response is no longer valid.The cached response can be provided again without waiting for the timeinterval or provided again after waiting for a time interval (e.g., thetime interval determined to be specific to emulate the response delay ina long poll). In one embodiment, the time interval is the response delay‘D’ or an average value of the response delay ‘D’ over two or morevalues.

The new or changed data can be, for example, detected by the proxyserver (e.g., proxy server 125 or 325 shown in the examples of FIG.1B-1D and FIG. 3A and FIG. 5A). When a cache entry for a givenrequest/poll has been invalidated, the use of the radio on the mobiledevice 250 can be enabled (e.g., by the local proxy 275 or the cachepolicy manager 245) to satisfy the subsequent polling requests, asfurther described with reference to the interaction diagram of FIG. 9.

One embodiment of the cache policy manager 245 includes a cache orconnect selection engine 249 which can decide whether to use a locallycached entry to satisfy a poll/content request generated at the mobiledevice 250 by an application or widget. For example, the local proxy 275or the cache policy manger 245 can intercept a polling request, made byan application (e.g., mobile application) on the mobile device, tocontact the application server/content provider. The selection engine249 can determine whether the content received for the interceptedrequest has been locally stored as cache elements for deciding whetherthe radio of the mobile device needs to be activated to satisfy therequest made by the application (e.g., mobile application) and alsodetermine whether the cached response is still valid for the outgoingrequest prior to responding to the outgoing request using the cachedresponse.

In one embodiment, the local proxy 275, in response to determining thatrelevant cached content exists and is still valid, can retrieve thecached elements from the local cache to provide a response to theapplication (e.g., mobile application) which made the polling requestsuch that a radio of the mobile device is not activated to provide theresponse to the application (e.g., mobile application). In general, thelocal proxy 275 continues to provide the cached response each time theoutgoing request is received until the updated response different fromthe cached response is detected.

When it is determined that the cached response is no longer valid, a newrequest for a given request is transmitted over the wireless network foran updated response. The request can be transmitted to the applicationserver/content provider (e.g., server/host 110) or the proxy server onthe host server (e.g., proxy 325 on the host 300) for a new and updatedresponse. In one embodiment the cached response can be provided again asa response to the outgoing request if a new response is not receivedwithin the time interval, prior to removal of the cached response fromthe cache on the mobile device.

FIG. 4C depicts a block diagram illustrating examples of additionalcomponents in the local proxy 275 shown in the example of FIG. 4A whichis further capable of performing mobile traffic categorization andpolicy implementation based on application behavior and/or useractivity.

In this embodiment of the local proxy 275, the user activity module 215further includes one or more of, a user activity tracker 215 a, a useractivity prediction engine 215 b, and/or a user expectation manager 215c. The application behavior detect 236 can further include aprioritization engine 241 a, a time criticality detection engine 241 b,an application state categorizer 241 c, and/or an application trafficcategorizer 241 d. The local proxy 275 can further include a backlightdetector 219 and/or a network configuration selection engine 251. Thenetwork configuration selection engine 251 can further include, one ormore of, a wireless generation standard selector 251 a, a data ratespecifier 251 b, an access channel selection engine 251 c, and/or anaccess point selector.

In one embodiment, the application behavior detector 236 is able todetect, determined, identify, or infer, the activity state of anapplication on the mobile device 250 to which traffic has originatedfrom or is directed to, for example, via the application statecategorizer 241 c and/or the traffic categorizer 241 d. The activitystate can be determined by whether the application is in a foreground orbackground state on the mobile device (via the application statecategorizer 241 c) since the traffic for a foreground application vs. abackground application may be handled differently.

In one embodiment, the activity state can be determined, detected,identified, or inferred with a level of certainty of heuristics, basedon the backlight status of the mobile device 250 (e.g., by the backlightdetector 219) or other software agents or hardware sensors on the mobiledevice, including but not limited to, resistive sensors, capacitivesensors, ambient light sensors, motion sensors, touch sensors, etc. Ingeneral, if the backlight is on, the traffic can be treated as being ordetermined to be generated from an application that is active or in theforeground, or the traffic is interactive. In addition, if the backlightis on, the traffic can be treated as being or determined to be trafficfrom user interaction or user activity, or traffic containing data thatthe user is expecting within some time frame.

In one embodiment, the activity state is determined based on whether thetraffic is interactive traffic or maintenance traffic. Interactivetraffic can include transactions from responses and requests generateddirectly from user activity/interaction with an application and caninclude content or data that a user is waiting or expecting to receive.Maintenance traffic may be used to support the functionality of anapplication which is not directly detected by a user. Maintenancetraffic can also include actions or transactions that may take place inresponse to a user action, but the user is not actively waiting for orexpecting a response.

For example, a mail or message delete action at a mobile device 250generates a request to delete the corresponding mail or message at theserver, but the user typically is not waiting for a response. Thus, sucha request may be categorized as maintenance traffic, or traffic having alower priority (e.g., by the prioritization engine 241 a) and/or is nottime-critical (e.g., by the time criticality detection engine 214 b).

Contrastingly, a mail ‘read’ or message ‘read’ request initiated by auser a the mobile device 250, can be categorized as ‘interactivetraffic’ since the user generally is waiting to access content or datawhen they request to read a message or mail. Similarly, such a requestcan be categorized as having higher priority (e.g., by theprioritization engine 241 a) and/or as being time critical/timesensitive (e.g., by the time criticality detection engine 241 b).

The time criticality detection engine 241 b can generally determine,identify, infer the time sensitivity of data contained in traffic sentfrom the mobile device 250 or to the mobile device from a host server(e.g., host 300) or application server (e.g., app server/content source110). For example, time sensitive data can include, status updates,stock information updates, IM presence information, email messages orother messages, actions generated from mobile gaming applications,webpage requests, location updates, etc. Data that is not time sensitiveor time critical, by nature of the content or request, can includerequests to delete messages, mark-as-read or edited actions,application-specific actions such as a add-friend or delete-friendrequest, certain types of messages, or other information which does notfrequently changing by nature, etc. In some instances when the data isnot time critical, the timing with which to allow the traffic to passthrough is set based on when additional data needs to be sent from themobile device 250. For example, traffic shaping engine 255 can align thetraffic with one or more subsequent transactions to be sent together ina single power-on event of the mobile device radio (e.g., using thealignment module 256 and/or the batching module 257). The alignmentmodule 256 can also align polling requests occurring close in timedirected to the same host server, since these request are likely to beresponded to with the same data.

In the alternate or in combination, the activity state can be determinedfrom assessing, determining, evaluating, inferring, identifying useractivity at the mobile device 250 (e.g., via the user activity module215). For example, user activity can be directly detected and trackedusing the user activity tracker 215 a. The traffic resulting therefromcan then be categorized appropriately for subsequent processing todetermine the policy for handling. Furthermore, user activity can bepredicted or anticipated by the user activity prediction engine 215 b.By predicting user activity or anticipating user activity, the trafficthus occurring after the prediction can be treated as resulting fromuser activity and categorized appropriately to determine thetransmission policy.

In addition, the user activity module 215 can also manage userexpectations (e.g., via the user expectation manager 215 c and/or inconjunction with the activity tracker 215 and/or the prediction engine215 b) to ensure that traffic is categorized appropriately such thatuser expectations are generally met. For example, a user-initiatedaction should be analyzed (e.g., by the expectation manager 215) todetermine or infer whether the user would be waiting for a response. Ifso, such traffic should be handled under a policy such that the userdoes not experience an unpleasant delay in receiving such a response oraction.

In one embodiment, an advanced generation wireless standard network isselected for use in sending traffic between a mobile device and a hostserver in the wireless network based on the activity state of theapplication on the mobile device for which traffic is originated from ordirected to. An advanced technology standards such as the 3G, 3.5G, 3G+,4G, or LTE network can be selected for handling traffic generated as aresult of user interaction, user activity, or traffic containing datathat the user is expecting or waiting for. Advanced generation wirelessstandard network can also be selected for to transmit data contained intraffic directed to the mobile device which responds to foregroundactivities.

In categorizing traffic and defining a transmission policy for mobiletraffic, a network configuration can be selected for use (e.g., by thenetwork configuration selection engine 251) on the mobile device 250 insending traffic between the mobile device and a proxy server (325)and/or an application server (e.g., app server/host 110). The networkconfiguration that is selected can be determined based on informationgathered by the application behavior module 236 regarding applicationactivity state (e.g., background or foreground traffic), applicationtraffic category (e.g., interactive or maintenance traffic), anypriorities of the data/content, time sensitivity/criticality.

The network configuration selection engine 2510 can select or specifyone or more of, a generation standard (e.g., via wireless generationstandard selector 251 a), a data rate (e.g., via data rate specifier 251b), an access channel (e.g., access channel selection engine 251 c),and/or an access point (e.g., via the access point selector 251 d), inany combination.

For example, a more advanced generation (e.g., 3G, LTE, or 4G or later)can be selected or specified for traffic when the activity state is ininteraction with a user or in a foreground on the mobile device.Contrastingly, an older generation standard (e.g., 2G, 2.5G, or 3G orolder) can be specified for traffic when one or more of the following isdetected, the application is not interacting with the user, theapplication is running in the background on the mobile device, or thedata contained in the traffic is not time critical, or is otherwisedetermined to have lower priority.

Similarly, a network configuration with a slower data rate can bespecified for traffic when one or more of the following is detected, theapplication is not interacting with the user, the application is runningin the background on the mobile device, or the data contained in thetraffic is not time critical. The access channel (e.g., Forward accesschannel or dedicated channel) can be specified.

FIG. 5A depicts a block diagram illustrating an example of server-sidecomponents in a distributed proxy and/or cache system (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation) (e.g.,(distributed) traffic optimizer, traffic management system,(distributed) content caching mechanism for traffic alleviation)residing on a host server 300 that manages traffic in a wireless networkfor resource conservation. The server-side proxy (or proxy server 325)can further categorize mobile traffic and/or implement delivery policiesbased on application behavior, content priority, user activity, and/oruser expectations. The proxy server 325 can also facilitate using a useras an end point for profiling and optimizing the delivery of content anddata in a wireless network.

The host server 300 generally includes, for example, a network interface308 and/or one or more repositories 312, 314, and 316. Note that server300 may be any portable/mobile or non-portable device, server, clusterof computers and/or other types of processing units (e.g., any number ofa machine shown in the example of FIG. 18) able to receive or transmitsignals to satisfy data requests over a network including any wired orwireless networks (e.g., WiFi, cellular, Bluetooth, etc.).

The network interface 308 can include networking module(s) or devices(s)that enable the server 300 to mediate data in a network with an entitythat is external to the host server 300, through any known and/orconvenient communications protocol supported by the host and theexternal entity. Specifically, the network interface 308 allows theserver 300 to communicate with multiple devices including mobile phonedevices 350 and/or one or more application servers/content providers310.

The host server 300 can store information about connections (e.g.,network characteristics, conditions, types of connections, etc.) withdevices in the connection metadata repository 312. Additionally, anyinformation about third party application or content providers can alsobe stored in the repository 312. The host server 300 can storeinformation about devices (e.g., hardware capability, properties, devicesettings, device language, network capability, manufacturer, devicemodel, OS, OS version, etc.) in the device information repository 314.Additionally, the host server 300 can store information about networkproviders and the various network service areas in the network serviceprovider repository 316.

The communication enabled by network interface 308 allows forsimultaneous connections (e.g., including cellular connections) withdevices 350 and/or connections (e.g., including wired/wireless, HTTP,Internet connections, LAN, WiFi, etc.) with content servers/providers310 to manage the traffic between devices 350 and content providers 310,for optimizing network resource utilization and/or to conserver power(battery) consumption on the serviced devices 350. The host server 300can communicate with mobile devices 350 serviced by different networkservice providers and/or in the same/different network service areas.The host server 300 can operate and is compatible with devices 350 withvarying types or levels of mobile capabilities, including by way ofexample but not limitation, 1G, 2G, 2G transitional (2.5G, 2.75G), 3G(IMT-2000), 3G transitional (3.5G, 3.75G, 3.9G), 4G (IMT-advanced), etc.

In general, the network interface 308 can include one or more of anetwork adaptor card, a wireless network interface card (e.g., SMSinterface, WiFi interface, interfaces for various generations of mobilecommunication standards including but not limited to 1G, 2G, 3G, 3.5G,4G type networks such as LTE, WiMAX, etc.), Bluetooth, WiFi, or anyother network whether or not connected via a router, an access point, awireless router, a switch, a multilayer switch, a protocol converter, agateway, a bridge, a bridge router, a hub, a digital media receiver,and/or a repeater.

The host server 300 can further include server-side components of thedistributed proxy and/or cache system (e.g., (distributed) trafficoptimizer, traffic management system, (distributed) content cachingmechanism for traffic alleviation) (e.g., (distributed) trafficoptimizer, traffic management system, (distributed) content cachingmechanism for traffic alleviation) which can include a proxy server 325and a server cache 335. In one embodiment, the proxy server 325 caninclude an HTTP access engine 345, a caching policy manager 355, a proxycontroller 365, a traffic shaping engine 375, a new data detector 347and/or a connection manager 395.

The HTTP access engine 345 may further include a heartbeat manager 398;the proxy controller 365 may further include a data invalidator module368; the traffic shaping engine 375 may further include a controlprotocol 376 and a batching module 377. Additional or lesscomponents/modules/engines can be included in the proxy server 325 andeach illustrated component.

As used herein, a “module,” a “manager,” a “handler,” a “detector,” an“interface,” a “controller,” a “normalizer,” a “generator,” an“invalidator,” or an “engine” includes a general purpose, dedicated orshared processor and, typically, firmware or software modules that areexecuted by the processor. Depending upon implementation-specific orother considerations, the module, manager, handler, detector, interface,controller, normalizer, generator, invalidator, or engine can becentralized or its functionality distributed. The module, manager,handler, detector, interface, controller, normalizer, generator,invalidator, or engine can include general or special purpose hardware,firmware, or software embodied in a computer-readable (storage) mediumfor execution by the processor. As used herein, a computer-readablemedium or computer-readable storage medium is intended to include allmediums that are statutory (e.g., in the United States, under 35 U.S.C.101), and to specifically exclude all mediums that are non-statutory innature to the extent that the exclusion is necessary for a claim thatincludes the computer-readable (storage) medium to be valid. Knownstatutory computer-readable mediums include hardware (e.g., registers,random access memory (RAM), non-volatile (NV) storage, to name a few),but may or may not be limited to hardware.

In the example of a device (e.g., mobile device 350) making anapplication or content request to an application server or contentprovider 310, the request may be intercepted and routed to the proxyserver 325 which is coupled to the device 350 and the applicationserver/content provider 310. Specifically, the proxy server is able tocommunicate with the local proxy (e.g., proxy 175 and 275 of theexamples of FIG. 1 and FIG. 2 respectively) of the mobile device 350,the local proxy forwards the data request to the proxy server 325 insome instances for further processing and, if needed, for transmissionto the application server/content server 310 for a response to the datarequest.

In such a configuration, the host 300, or the proxy server 325 in thehost server 300 can utilize intelligent information provided by thelocal proxy in adjusting its communication with the device in such amanner that optimizes use of network and device resources. For example,the proxy server 325 can identify characteristics of user activity onthe device 350 to modify its communication frequency. Thecharacteristics of user activity can be determined by, for example, theactivity/behavior awareness module 366 in the proxy controller 365 viainformation collected by the local proxy on the device 350.

In one embodiment, communication frequency can be controlled by theconnection manager 395 of the proxy server 325, for example, to adjustpush frequency of content or updates to the device 350. For instance,push frequency can be decreased by the connection manager 395 whencharacteristics of the user activity indicate that the user is inactive.In one embodiment, when the characteristics of the user activityindicate that the user is subsequently active after a period ofinactivity, the connection manager 395 can adjust the communicationfrequency with the device 350 to send data that was buffered as a resultof decreased communication frequency to the device 350.

In addition, the proxy server 325 includes priority awareness of variousrequests, transactions, sessions, applications, and/or specific events.Such awareness can be determined by the local proxy on the device 350and provided to the proxy server 325. The priority awareness module 367of the proxy server 325 can generally assess the priority (e.g.,including time-criticality, time-sensitivity, etc.) of various events orapplications; additionally, the priority awareness module 367 can trackpriorities determined by local proxies of devices 350.

In one embodiment, through priority awareness, the connection manager395 can further modify communication frequency (e.g., use or radio ascontrolled by the radio controller 396) of the server 300 with thedevices 350. For example, the server 300 can notify the device 350, thusrequesting use of the radio if it is not already in use when data orupdates of an importance/priority level which meets a criteria becomesavailable to be sent.

In one embodiment, the proxy server 325 can detect multiple occurrencesof events (e.g., transactions, content, data received fromserver/provider 310) and allow the events to accumulate for batchtransfer to device 350. Batch transfer can be cumulated and transfer ofevents can be delayed based on priority awareness and/or useractivity/application behavior awareness as tracked by modules 367 and/or366. For example, batch transfer of multiple events (of a lowerpriority) to the device 350 can be initiated by the batching module 377when an event of a higher priority (meeting a threshold or criteria) isdetected at the server 300. In addition, batch transfer from the server300 can be triggered when the server receives data from the device 350,indicating that the device radio is already in use and is thus on. Inone embodiment, the proxy server 325 can order the each messages/packetsin a batch for transmission based on event/transaction priority suchthat higher priority content can be sent first in case connection islost or the battery dies, etc.

In one embodiment, the server 300 caches data (e.g., as managed by thecaching policy manager 355) such that communication frequency over anetwork (e.g., cellular network) with the device 350 can be modified(e.g., decreased). The data can be cached, for example, in the servercache 335 for subsequent retrieval or batch sending to the device 350 topotentially decrease the need to turn on the device 350 radio. Theserver cache 335 can be partially or wholly internal to the host server300, although in the example of FIG. 3A it is shown as being external tothe host 300. In some instances, the server cache 335 may be the same asand/or integrated in part or in whole with another cache managed byanother entity (e.g., the optional caching proxy server 199 shown in theexample of FIG. 1C), such as being managed by an applicationserver/content provider 310, a network service provider, or anotherthird party.

In one embodiment, content caching is performed locally on the device350 with the assistance of host server 300. For example, proxy server325 in the host server 300 can query the application server/provider 310with requests and monitor changes in responses. When changed or newresponses are detected (e.g., by the new data detector 347), the proxyserver 325 can notify the mobile device 350 such that the local proxy onthe device 350 can make the decision to invalidate (e.g., indicated asout-dated) the relevant cache entries stored as any responses in itslocal cache. Alternatively, the data invalidator module 368 canautomatically instruct the local proxy of the device 350 to invalidatecertain cached data, based on received responses from the applicationserver/provider 310. The cached data is marked as invalid, and can getreplaced or deleted when new content is received from the content server310.

Note that data change can be detected by the detector 347 in one or moreways. For example, the server/provider 310 can notify the host server300 upon a change. The change can also be detected at the host server300 in response to a direct poll of the source server/provider 310. Insome instances, the proxy server 325 can in addition, pre-load the localcache on the device 350 with the new/updated data. This can be performedwhen the host server 300 detects that the radio on the mobile device isalready in use, or when the server 300 has additional content/data to besent to the device 350.

One or more the above mechanisms can be implemented simultaneously oradjusted/configured based on application (e.g., different policies fordifferent servers/providers 310). In some instances, the sourceprovider/server 310 may notify the host 300 for certain types of events(e.g., events meeting a priority threshold level). In addition, theprovider/server 310 may be configured to notify the host 300 at specifictime intervals, regardless of event priority.

In one embodiment, the proxy server 325 of the host 300 canmonitor/track responses received for the data request from the contentsource for changed results prior to returning the result to the mobiledevice, such monitoring may be suitable when data request to the contentsource has yielded same results to be returned to the mobile device,thus preventing network/power consumption from being used when no newchanges are made to a particular requested. The local proxy of thedevice 350 can instruct the proxy server 325 to perform such monitoringor the proxy server 325 can automatically initiate such a process uponreceiving a certain number of the same responses (e.g., or a number ofthe same responses in a period of time) for a particular request.

In one embodiment, the server 300, through the activity/behaviorawareness module 366, is able to identify or detect user activity at adevice that is separate from the mobile device 350. For example, themodule 366 may detect that a user's message inbox (e.g., email or typesof inbox) is being accessed. This can indicate that the user isinteracting with his/her application using a device other than themobile device 350 and may not need frequent updates, if at all.

The server 300, in this instance, can thus decrease the frequency withwhich new or updated content is sent to the mobile device 350, oreliminate all communication for as long as the user is detected to beusing another device for access. Such frequency decrease may beapplication specific (e.g., for the application with which the user isinteracting with on another device), or it may be a general frequencydecrease (E.g., since the user is detected to be interacting with oneserver or one application via another device, he/she could also use itto access other services.) to the mobile device 350.

In one embodiment, the host server 300 is able to poll content sources310 on behalf of devices 350 to conserve power or battery consumption ondevices 350. For example, certain applications on the mobile device 350can poll its respective server 310 in a predictable recurring fashion.Such recurrence or other types of application behaviors can be trackedby the activity/behavior module 366 in the proxy controller 365. Thehost server 300 can thus poll content sources 310 for applications onthe mobile device 350 that would otherwise be performed by the device350 through a wireless (e.g., including cellular connectivity). The hostserver can poll the sources 310 for new or changed data by way of theHTTP access engine 345 to establish HTTP connection or by way of radiocontroller 396 to connect to the source 310 over the cellular network.When new or changed data is detected, the new data detector 347 cannotify the device 350 that such data is available and/or provide thenew/changed data to the device 350.

In one embodiment, the connection manager 395 determines that the mobiledevice 350 is unavailable (e.g., the radio is turned off) and utilizesSMS to transmit content to the device 350, for instance, via the SMSCshown in the example of FIG. 1C. SMS is used to transmit invalidationmessages, batches of invalidation messages, or even content in the casewhere the content is small enough to fit into just a few (usually one ortwo) SMS messages. This avoids the need to access the radio channel tosend overhead information. The host server 300 can use SMS for certaintransactions or responses having a priority level above a threshold orotherwise meeting a criteria. The server 300 can also utilize SMS as anout-of-band trigger to maintain or wake-up an IP connection as analternative to maintaining an always-on IP connection.

In one embodiment, the connection manager 395 in the proxy server 325(e.g., the heartbeat manager 398) can generate and/or transmit heartbeatmessages on behalf of connected devices 350 to maintain a backendconnection with a provider 310 for applications running on devices 350.

For example, in the distributed proxy system, local cache on the device350 can prevent any or all heartbeat messages needed to maintain TCP/IPconnections required for applications from being sent over the cellular,or other, network and instead rely on the proxy server 325 on the hostserver 300 to generate and/or send the heartbeat messages to maintain aconnection with the backend (e.g., application server/provider 110 inthe example of FIG. 1B). The proxy server can generate the keep-alive(heartbeat) messages independent of the operations of the local proxy onthe mobile device.

The repositories 312, 314, and/or 316 can additionally store software,descriptive data, images, system information, drivers, and/or any otherdata item utilized by other components of the host server 300 and/or anyother servers for operation. The repositories may be managed by adatabase management system (DBMS), for example, which may be but is notlimited to Oracle, DB2, Microsoft Access, Microsoft SQL Server,PostgreSQL, MySQL, FileMaker, etc.

The repositories can be implemented via object-oriented technologyand/or via text files and can be managed by a distributed databasemanagement system, an object-oriented database management system(OODBMS) (e.g., ConceptBase, FastDB Main Memory Database ManagementSystem, JDOInstruments, ObjectDB, etc.), an object-relational databasemanagement system (ORDBMS) (e.g., Informix, OpenLink Virtuoso, VMDS,etc.), a file system, and/or any other convenient or known databasemanagement package.

FIG. 5B depicts a block diagram illustrating a further example ofcomponents in the caching policy manager 355 in the cache system shownin the example of FIG. 3A which is capable of caching and adaptingcaching strategies for application (e.g., mobile application) behaviorand/or network conditions.

The caching policy manager 355, in one embodiment, can further include ametadata generator 303, a cache look-up engine 305, an applicationprotocol module 356, a content source monitoring engine 357 having apoll schedule manager 358, a response analyzer 361, and/or an updated ornew content detector 359. In one embodiment, the poll schedule manager358 further includes a host timing simulator 358 a, a long poll requestdetector/manager 358 b, a schedule update engine 358 c, and/or a timeadjustment engine 358 d. The metadata generator 303 and/or the cachelook-up engine 305 can be coupled to the cache 335 (or, server cache)for modification or addition to cache entries or querying thereof.

In one embodiment, the proxy server (e.g., the proxy server 125 or 325of the examples of FIG. 1A-1C and FIG. 3A) can monitor a content sourcefor new or changed data via the monitoring engine 357. The proxy server,as shown, is an entity external to the mobile device 250 of FIG. 2A-B.The content source (e.g., application server/content provider 110 ofFIG. 1A-1C) can be one that has been identified to the proxy server(e.g., by the local proxy) as having content that is being locallycached on a mobile device (e.g., mobile device 150 or 250). The contentsource can be monitored, for example, by the monitoring engine 357 at afrequency that is based on polling frequency of the content source atthe mobile device. The poll schedule can be generated, for example, bythe local proxy and sent to the proxy server. The poll frequency can betracked and/or managed by the poll schedule manager 358.

For example, the proxy server can poll the host (e.g., contentprovider/application server) on behalf of the mobile device and simulatethe polling behavior of the client to the host via the host timingsimulator 358 a. The polling behavior can be simulated to includecharacteristics of a long poll request-response sequences experienced ina persistent connection with the host (e.g., by the long poll requestdetector/manager 358 b). Note that once a polling interval/behavior isset, the local proxy 275 on the device-side and/or the proxy server 325on the server-side can verify whether application and applicationserver/content host behavior match or can be represented by thispredicted pattern. In general, the local proxy and/or the proxy servercan detect deviations and, when appropriate, re-evaluate and compute,determine, or estimate another polling interval.

The proxy server can detect new or changed data at a monitored contentsource and transmits a message to the mobile device notifying it of sucha change such that the mobile device (or the local proxy on the mobiledevice) can take appropriate action (e.g., to invalidate the cacheelements in the local cache). In some instances, the proxy server (e.g.,the caching policy manager 355) upon detecting new or changed data canalso store the new or changed data in its cache (e.g., the server cache135 or 335 of the examples of FIG. 1C and FIG. 3A, respectively). Thenew/updated data stored in the server cache 335 can be used in someinstances to satisfy content requests at the mobile device; for example,it can be used after the proxy server has notified the mobile device ofthe new/changed content and that the locally cached content has beeninvalidated.

The metadata generator 303, similar to the metadata generator 203 shownin the example of FIG. 2B, can generate metadata for responses cachedfor requests at the mobile device 250. The metadata generator 303 cangenerate metadata for cache entries stored in the server cache 335.Similarly, the cache look-up engine 305 can include the same or similarfunctions are those described for the cache look-up engine 205 shown inthe example of FIG. 2B.

The response analyzer 361 can perform any or all of the functionalitiesrelated to analyzing responses received for requests generated at themobile device 250 in the same or similar fashion to the responseanalyzer 246 d of the local proxy shown in the example of FIG. 2B. Sincethe proxy server 325 is able to receive responses from the applicationserver/content source 310 directed to the mobile device 250, the proxyserver 325 (e.g., the response analyzer 361) can perform similarresponse analysis steps to determine cacheability, as described for theresponse analyzer of the local proxy. The responses can be analyzed inaddition to or in lieu of the analysis that can be performed at thelocal proxy 275 on the mobile device 250.

Furthermore, the schedule update engine 358 c can update the pollinginterval of a given application server/content host based on applicationrequest interval changes of the application at the mobile device 250 asdescribed for the schedule update engine in the local proxy 275. Thetime adjustment engine 358 d can set an initial time at which polls ofthe application server/content host is to begin to prevent the servingof out of date content once again before serving fresh content asdescribed for the schedule update engine in the local proxy 275. Boththe schedule updating and the time adjustment algorithms can beperformed in conjunction with or in lieu of the similar processesperformed at the local proxy 275 on the mobile device 250.

FIG. 5C depicts a block diagram illustrating examples of additionalcomponents in proxy server 325 shown in the example of FIG. 5A which isfurther capable of performing mobile traffic categorization and policyimplementation based on application behavior and/or traffic priority.

In one embodiment of the proxy server 325, the traffic shaping engine375 is further coupled to a traffic analyzer 336 for categorizing mobiletraffic for policy definition and implementation for mobile traffic andtransactions directed to one or more mobile devices (e.g., mobile device250 of FIG. 2A-2D) or to an application server/content host (e.g., 110of FIG. 1B-1C). In general, the proxy server 325 is remote from themobile devices and remote from the host server, as shown in the examplesof FIG. 1A-1C. The proxy server 325 or the host server 300 can monitorthe traffic for multiple mobile devices and is capable of categorizingtraffic and devising traffic policies for different mobile devices.

In addition, the proxy server 325 or host server 300 can operate withmultiple carriers or network operators and can implementcarrier-specific policies relating to categorization of traffic andimplementation of traffic policies for the various categories. Forexample, the traffic analyzer 336 of the proxy server 325 or host server300 can include one or more of, a prioritization engine 341 a, a timecriticality detection engine 341 b, an application state categorizer 341c, and/or an application traffic categorizer 341 d.

Each of these engines or modules can track different criterion for whatis considered priority, time critical, background/foreground, orinteractive/maintenance based on different wireless carriers. Differentcriterion may also exist for different mobile device types (e.g., devicemodel, manufacturer, operating system, etc.). In some instances, theuser of the mobile devices can adjust the settings or criterionregarding traffic category and the proxy server 325 is able to track andimplement these user adjusted/configured settings.

In one embodiment, the traffic analyzer 336 is able to detect,determined, identify, or infer, the activity state of an application onone or more mobile devices (e.g., mobile device 150 or 250) whichtraffic has originated from or is directed to, for example, via theapplication state categorizer 341 c and/or the traffic categorizer 341d. The activity state can be determined based on whether the applicationis in a foreground or background state on one or more of the mobiledevices (via the application state categorizer 341 c) since the trafficfor a foreground application vs. a background application may be handleddifferently to optimize network use.

In the alternate or in combination, the activity state of an applicationcan be determined by the wirelessly connected mobile devices (e.g., viathe application behavior detectors in the local proxies) andcommunicated to the proxy server 325. For example, the activity statecan be determined, detected, identified, or inferred with a level ofcertainty of heuristics, based on the backlight status at mobile devices(e.g., by a backlight detector) or other software agents or hardwaresensors on the mobile device, including but not limited to, resistivesensors, capacitive sensors, ambient light sensors, motion sensors,touch sensors, proximity sensors, facial detectors/recognizers, retinaldetectors/recognizers, etc. In general, if the backlight is on, or userpresence, activity is otherwise detected, the traffic can be treated asbeing or determined to be generated from an application that is activeor in the foreground, or the traffic is interactive. In addition, if thebacklight is on, the traffic can be treated as being or determined to betraffic from user interaction or user activity, or traffic containingdata that the user is expecting within some time frame.

The activity state can be determined from assessing, determining,evaluating, inferring, identifying user activity at the mobile device250 (e.g., via the user activity module 215) and communicated to theproxy server 325. In one embodiment, the activity state is determinedbased on whether the traffic is interactive traffic or maintenancetraffic. Interactive traffic can include transactions from responses andrequests generated directly from user activity/interaction with anapplication and can include content or data that a user is waiting orexpecting to receive. Maintenance traffic may be used to support thefunctionality of an application which is not directly detected by auser. Maintenance traffic can also include actions or transactions thatmay take place in response to a user action, but the user is notactively waiting for or expecting a response.

The time criticality detection engine 341 b can generally determine,identify, infer the time sensitivity of data contained in traffic sentfrom the mobile device 250 or to the mobile device from the host server300 or proxy server 325, or the application server (e.g., appserver/content source 110). For example, time sensitive data caninclude, status updates, stock information updates, IM presenceinformation, email messages or other messages, actions generated frommobile gaming applications, webpage requests, location updates, etc.

Data that is not time sensitive or time critical, by nature of thecontent or request, can include requests to delete messages,mark-as-read or edited actions, application-specific actions such as aadd-friend or delete-friend request, certain types of messages, or otherinformation which does not frequently changing by nature, etc. In someinstances when the data is not time critical, the timing with which toallow the traffic to be sent to a mobile device is based on when thereis additional data that needs to the sent to the same mobile device. Forexample, traffic shaping engine 375 can align the traffic with one ormore subsequent transactions to be sent together in a single power-onevent of the mobile device radio (e.g., using the alignment module 378and/or the batching module 377). The alignment module 378 can also alignpolling requests occurring close in time directed to the same hostserver, since these request are likely to be responded to with the samedata.

In general, whether new or changed data is sent from a host server to amobile device can be determined based on whether an application on themobile device to which the new or changed data is relevant, is runningin a foreground (e.g., by the application state categorizer 341 c), orthe priority or time criticality of the new or changed data. The proxyserver 325 can send the new or changed data to the mobile device if theapplication is in the foreground on the mobile device, or if theapplication is in the foreground and in an active state interacting witha user on the mobile device, and/or whether a user is waiting for aresponse that would be provided in the new or changed data. The proxyserver 325 (or traffic shaping engine 375) can send the new or changeddata that is of a high priority or is time critical.

Similarly, the proxy server 325 (or the traffic shaping engine 375) cansuppressing the sending of the new or changed data if the application isin the background on the mobile device. The proxy server 325 can alsosuppress the sending of the new or changed data if the user is notwaiting for the response provided in the new or changed data; whereinthe suppressing is performed by a proxy server coupled to the hostserver and able to wirelessly connect to the mobile device.

In general, if data, including new or change data is of a low priorityor is not time critical, the proxy server can waiting to transfer thedata until after a time period, or until there is additional data to besent (e.g. via the alignment module 378 and/or the batching module 377).

FIG. 6A depicts another flow diagram illustrating an example process fordistributed content caching between a mobile device and a proxy serverand the distributed management of content caching.

As shown in the distributed system interaction diagram in the example ofFIG. 4, the disclosed technology is a distributed caching model withvarious aspects of caching tasks split between the client-side/mobiledevice side (e.g., mobile device 450 in the example of FIG. 4) and theserver side (e.g., server side 470 including the host server 485 and/orthe optional caching proxy 475).

In general the device-side responsibilities can include deciding whethera response to a particular request can be and/or should be cached. Thedevice-side of the proxy can make this decision based on information(e.g., timing characteristics, detected pattern, detected pattern withheuristics, indication of predictability or repeatability) collectedfrom/during both request and response and cache it (e.g., storing it ina local cache on the mobile device). The device side can also notify theserver-side in the distributed cache system of the local cache event andnotify it monitor the content source (e.g., application server/contentprovider 110 of FIG. 1A-1C).

The device side can further instruct the server side of the distributedproxy to periodically validate the cache response (e.g., by way ofpolling, or sending polling requests to the content source). The deviceside can further decide whether a response to a particular cache requestshould be returned from the local cache (e.g., whether a cache hit isdetected). The decision can be made by the device side (e.g., the localproxy on the device) using information collected from/during requestand/or responses received from the content source.

In general, the server-side responsibilities can include validatingcached responses for relevancy (e.g., determine whether a cachedresponse is still valid or relevant to its associated request). Theserver-side can send the mobile device an invalidation request to notifythe device side when a cached response is detected to be no longer validor no longer relevant (e.g., the server invalidates a given contentsource). The device side then can remove the response from the localcache.

The diagram of FIG. 6A illustrates caching logic processes performed foreach detected or intercepted request (e.g., HTTP request) detected at amobile device (e.g., client-side of the distributed proxy). In step 602,the client-side of the proxy (e.g., local proxy 275 shown in FIG. 2A-Bor mobile device 450 of FIG. 4) receives a request (from an application(e.g., mobile application) or mobile client). In step 604, URL isnormalized and in step 606 the client-side checks to determine if therequest is cacheable. If the request is determined to be not cacheablein step 612, the request is sent to the source (applicationserver/content provider) in step 608 and the response is received 610and delivered to the requesting application 622, similar to arequest-response sequence without interception by the client side proxy.

If the request is determined to be cacheable, in step 612, theclient-side looks up the cache to determine whether a cache entry existsfor the current request. If so, in step 624, the client-side candetermine whether the entry is valid and if so, the client side cancheck the request to see if includes a validator (e.g., a modifiedheader or an entity tag) in step 615. For example, the concept ofvalidation is eluded to in section 13.3 of RFC 2616 which describes inpossible types of headers (e.g., eTAG, Modified_Since, must_revalidate,pragma no_cache) and forms a validating response 632 if so to bedelivered to the requesting application in step 622. If the request doesnot include a validator as determined by step 615, a response is formedfrom the local cache in step 630 and delivered to the requestingapplication in step 622. This validation step can be used for contentthat would otherwise normally be considered un-cacheable.

If, instead, in step 624, the cache entry is found but determined to beno longer valid or invalid, the client side of the proxy sends therequest 616 to the content source (application server/content host) andreceives a response directly fro the source in step 618. Similarly, ifin step 612, a cache entry was not found during the look up, the requestis also sent in step 616. Once the response is received, the client sidechecks the response to determine if it is cacheable in step 626. If so,the response is cached in step 620. The client then sends another pollin step 614 and then delivers the response to the requesting applicationin step 622.

FIG. 6B depicts a diagram showing how data requests from a mobile device450 to an application server/content provider 495 in a wireless networkcan be coordinated by a distributed proxy system 460 in a manner suchthat network and battery resources are conserved through using contentcaching and monitoring performed by the distributed proxy system 460.

In satisfying application or client requests on a mobile device 450without the distributed proxy system 460, the mobile device 450, or thesoftware widget executing on the device 450, performs a data request 452(e.g., an HTTP GET, POST, or other request) directly to the applicationserver 495 and receives a response 404 directly from the server/provider495. If the data has been updated, the widget 455 on the mobile device450 can refreshes itself to reflect the update and waits for smallperiod of time and initiates another data request to the server/provider495.

In one embodiment, the requesting client or software widget 455 on thedevice 450 can utilize the distributed proxy system 460 in handling thedata request made to server/provider 495. In general, the distributedproxy system 460 can include a local proxy 465 (which is typicallyconsidered a client-side component of the system 460 and can reside onthe mobile device 450), a caching proxy 475 (considered a server-sidecomponent 470 of the system 460 and can reside on the host server 485 orbe wholly or partially external to the host server 485), and a hostserver 485. The local proxy 465 can be connected to the caching proxy475 and host server 485 via any network or combination of networks.

When the distributed proxy system 460 is used for data/applicationrequests, the widget 455 can perform the data request 456 via the localproxy 465. The local proxy 465, can intercept the requests made bydevice applications, and can identify the connection type of the request(e.g., an HTTP get request or other types of requests). The local proxy465 can then query the local cache for any previous information aboutthe request (e.g., to determine whether a locally stored response isavailable and/or still valid). If a locally stored response is notavailable or if there is an invalid response stored, the local proxy 465can update or store information about the request, the time it was made,and any additional data, in the local cache. The information can beupdated for use in potentially satisfying subsequent requests.

The local proxy 465 can then send the request to the host server 485 andthe host server 485 can perform the request 456 and returns the resultsin response 458. The local proxy 465 can store the result and, inaddition, information about the result and returns the result to therequesting widget 455.

In one embodiment, if the same request has occurred multiple times(within a certain time period) and it has often yielded same results,the local proxy 465 can notify 460 the server 485 that the requestshould be monitored (e.g., steps 462 and 464) for result changes priorto returning a result to the local proxy 465 or requesting widget 455.

In one embodiment, if a request is marked for monitoring, the localproxy 465 can now store the results into the local cache. Now, when thedata request 466, for which a locally response is available, is made bythe widget 455 and intercepted at the local proxy 465, the local proxy465 can return the response 468 from the local cache without needing toestablish a connection communication over the wireless network.

In addition, the server proxy performs the requests marked formonitoring 470 to determine whether the response 472 for the givenrequest has changed. In general, the host server 485 can perform thismonitoring independently of the widget 455 or local proxy 465operations. Whenever an unexpected response 472 is received for arequest, the server 485 can notify the local proxy 465 that the responsehas changed (e.g., the invalidate notification in step 474) and that thelocally stored response on the client should be erased or replaced witha new response.

In this case, a subsequent data request 476 by the widget 455 from thedevice 450 results in the data being returned from host server 485(e.g., via the caching proxy 475), and in step 478, the request issatisfied from the caching proxy 475. Thus, through utilizing thedistributed proxy system 460, the wireless (cellular) network isintelligently used when the content/data for the widget or softwareapplication 455 on the mobile device 450 has actually changed. As such,the traffic needed to check for the changes to application data is notperformed over the wireless (cellular) network. This reduces the amountof generated network traffic and shortens the total time and the numberof times the radio module is powered up on the mobile device 450, thusreducing battery consumption and, in addition, frees up networkbandwidth.

FIG. 7 depicts a table 700 showing examples of different traffic orapplication category types which can be used in implementing networkaccess and content delivery policies. For example, traffic/applicationcategories can include interactive or background, whether a user iswaiting for the response, foreground/background application, and whetherthe backlight is on or off.

FIG. 8 depicts a table 800 showing examples of different contentcategory types which can be used in implementing network access andcontent delivery policies. For example, content category types caninclude content of high or low priority, and time critical or non-timecritical content/data.

FIG. 9 depicts an interaction diagram showing how application (e.g.,mobile application) 955 polls having data requests from a mobile deviceto an application server/content provider 995 over a wireless networkcan be can be cached on the local proxy 965 and managed by thedistributed caching system (including local proxy 965 and the hostserver 985 (having server cache 935 or caching proxy server 975)).

In one example, when the mobile application/widget 955 polls anapplication server/provider 932, the poll can locally be intercepted 934on the mobile device by local proxy 965. The local proxy 965 can detectthat the cached content is available for the polled content in therequest and can thus retrieve a response from the local cache to satisfythe intercepted poll 936 without requiring use of wireless networkbandwidth or other wireless network resources. The mobileapplication/widget 955 can subsequently receive a response to the pollfrom a cache entry 938.

In another example, the mobile application widget 955 polls theapplication server/provider 940. The poll is intercepted 942 by thelocal proxy 965 and detects that cache content is unavailable in thelocal cache and decides to set up the polled source for caching 944. Tosatisfy the request, the poll is forwarded to the content source 946.The application server/provider 995 receives the poll request from theapplication and provides a response to satisfy the current request 948.In 950, the application (e.g., mobile application)/widget 955 receivesthe response from the application server/provider to satisfy therequest.

In conjunction, in order to set up content caching, the local proxy 965tracks the polling frequency of the application and can set up a pollingschedule to be sent to the host server 952. The local proxy sends thecache set up to the host server 954. The host server 985 can use thecache set up which includes, for example, an identification of theapplication server/provider to be polled and optionally a pollingschedule 956. The host server 985 can now poll the applicationserver/provider 995 to monitor responses to the request 958 on behalf ofthe mobile device. The application server receives the poll from thehost server and responds 960. The host server 985 determines that thesame response has been received and polls the application server 995according to the specified polling schedule 962. The applicationserver/content provider 995 receives the poll and responds accordingly964.

The host server 985 detects changed or new responses and notifies thelocal proxy 965. The host server 985 can additional store the changed ornew response in the server cache or caching proxy 968. The local proxy965 receives notification from the host server 985 that new or changeddata is now available and can invalidate the affected cache entries 970.The next time the application (e.g., mobile application)/widget 955generates the same request for the same server/content provider 972, thelocal proxy determines that no valid cache entry is available andinstead retrieves a response from the server cache 974, for example,through an HTTP connection. The host server 985 receives the request forthe new response and sends the response back 976 to the local proxy 965.The request is thus satisfied from the server cache or caching proxy 978without the need for the mobile device to utilize its radio or toconsume mobile network bandwidth thus conserving network resources.

Alternatively, when the application (e.g., mobile application) generatesthe same request in step 980, the local proxy 965, in response todetermining that no valid cache entry is available, forwards the poll tothe application server/provider in step 982 over the mobile network. Theapplication server/provider 995 receives the poll and sends the responseback to the mobile device in step 984 over the mobile network. Therequest is thus satisfied from the server/provider using the mobilenetwork in step 986.

FIG. 10A illustrates a flow chart showing an example flow for userbehavior with respect to mobile usage relating to browsing activity orcontent streaming activity based resource allocation in a wirelessnetwork.

In process 2302, user behavior relating to browsing activity or contentstreaming activity is tracked with respect to mobile usage for a user.In process 2304, the user behavior is recorded. In process 2306,characteristics or patterns of the user behavior is stored in a userbehavior profile for the user. In process 2308, mobile usage is detectedfor the user, for example, on a given mobile device.

In process 2310, the user behavior profile is used for resourceallocation in the wireless network. In general, the user behaviorprofile for the user is used for resource allocation in the wirelessnetwork across multiple devices used by the user, since the resourceallocation is ‘user-oriented’ and thus using the user as an ‘end point’for making resource allocation decisions.

In process 2312, the resource allocated to the user in the wirelessnetwork based on the user behavior is controlled with respect to themobile usage relating to browsing activity or content streamingactivity.

Note that user behavior with respect to mobile usage relating tobrowsing activity can include, for example, user behavior with respectto different browsers, user behavior with respect to different websites,and/or user behavior with respect to site topic based on inferred orexplicitly specified user interest. User behavior with respect to mobileusage relating to streaming activity can include, user behavior withrespect to different streaming applications, user behavior with respectto different streaming sites, and/or user behavior with respect todifferent streamed content type.

In addition, the user behavior with respect to mobile usage relating tostreaming activity can also include user behavior with respect tostreamed content topic based on inferred or explicitly specified userinterest and/or with respect to mobile usage relating to streamingactivity includes user behavior with respect to an event being streamed(e.g., a sporting event (e.g., the Superbowl, an NBA game, Marchmadness, a tennis game, a live concert performance, or a reproducedconcert performance, a podcast, a radio broadcast, etc.).

In general, the resource is allocated to the user for subsequentsessions of mobile usage, regardless of whether the subsequent sessionsoccur on a same device as when the user behavior was tracked for theuser. In some instances, resource allocation to the user may be devicespecific, provided that the user has different usage habits/behaviors ordetectable/trackable patterns for different devices.

In process 2314, radio power states of a mobile device which the useruses to control the allocated resource is throttled. In process 2316,bandwidth is allocated in the wireless network to the user to controlthe allocated resource.

One embodiment includes, increasing the resource allocated to the userin the wireless network responsive to detecting a subsequent session ofmobile usage corresponding to a need for higher bandwidth or radio poweras determined from the user behavior that was tracked. The need forhigher bandwidth or radio power can be determined from the user behaviorindicating one or more of, frequent access mobile applications, frequentor lengthy consumption of streaming content. The need for higherbandwidth or radio power may also be determined from the user behaviorindicating consumption of multimedia content, or from the user behaviorindicating consumption of multimedia content. In a further embodiment,the need for higher bandwidth or radio power can be determined from theuser behavior indicating frequent access of mobile clients including oneor more of email clients, feeds, tweets, social networks, posts, and/orstatus updates.

One embodiment includes decreasing the resource allocated to the user inthe wireless network responsive to detecting a subsequent session ofmobile usage corresponding to a lack of need for bandwidth or radiopower as determined from the user behavior that was tracked or asubsequent session of no predicted mobile usage or little predictedmobile usage as determined form the user behavior that was tracked.

In one embodiment, the user behavior is tracked or analyzed on anapplication by application basis by the user. The user behavior can betracked or analyzed based on resource accessed by the user or contenttype accessed or consumed by the user. The user behavior can also betracked or analyzed based on timing characteristics including time orday or day of week; the user behavior is tracked or analyzed on a deviceby device basis for the user. Such examples are illustrated in the userbehavior/habit profile as illustrated in the example of FIG. 1A formultiple users.

In one embodiment, the controlling of the resource allocated to the useris facilitated by a proxy server remote from a mobile device on whichthe user behavior is tracked. The proxy server can be a component of anetwork operator of the wireless network. Alternatively or in addition,the proxy server can be distinct from a component of a network operatorof the wireless network and be in communication with the networkoperator to facilitate control of the resource allocated to the user.

FIG. 10B illustrates a flow chart showing an example flow for contentconsumption based resource allocation to a user in a wireless networkrelating to browsing activity or content streaming activity.

In process 2402, sessions of mobile usage of a user relating to browsingactivity or content streaming activity are detected or identified. Notethat sessions of mobile usage can be detected at a mobile device (e.g.,via the local proxy on the mobile device,). The sessions of mobile usagefor the user may also be detected or identified from multiple mobiledevice. In one embodiment, the content consumption of the mobile usagerelating to streaming activity can include content consumption withrespect to different streaming sites. The content consumption of themobile usage can also relate to streaming activity including contentconsumption with respect to different streamed content type or withrespect to an event being streamed.

In process 2404, content consumption is tracked in the sessions ofmobile usage relating to browsing activity or content streaming activityfor the user. Note that the content consumption can be tracked by alocal proxy on a mobile device on which the sessions of the mobile usageoccurs or by a proxy server remote from the mobile device(s). In process2406, the sessions of mobile usage relating to browsing activity orcontent streaming activity for the user is tracked across multiplemobile devices. For example, the sessions of the mobile usage relatingto browsing activity or content streaming activity for the user can betracked across multiple mobile devices by a proxy server remote from themultiple mobile devices.

In process 2408, statistical data related to the content consumption inthe sessions of the mobile usage relating to browsing activity orcontent streaming activity is aggregated or computed. In one embodiment,the proxy server aggregates and computes the statistical data related tothe content consumption of the user. The statistical data can include,one or more of, frequency of the content consumption, amount of thecontent consumption, and timing parameters related to the contentconsumption, as further illustrated in the example flow of FIG. 10C. Thestatistical data can also include, content consumption tracked on anapplication by application basis. In process 2410, control of theresource allocated to the user in the wireless network is facilitatedbased on the statistical data of the content consumption of the user'smobile usage relating to browsing activity or content streamingactivity.

FIG. 10C illustrates a flow chart showing examples of statisticsaggregated or computed for content consumption in mobile usage sessionsrelating to browsing activity or content streaming activity in awireless network.

In process 2504, the frequency of content consumption can be determined.Frequency of content consumption can be determined by frequency ofapplication access, frequency of download and/or upload of contentand/or data, and in general any active/passive, direct/indirect,foreground/background activity which causes data/content to betransferred or request to be transferred to/from mobile device.Frequency can be tracked for different times of the day, days of theweek, weekday vs. weekend, monthly basis, etc.

In process 2506, amount of the content consumption is determined. Theamount of content consumed can be, for example, measured in kB, MB, GB,over a period of time, for example, over a few minutes, an hour, in aday, over a week, during a month, or over a billing cycle. Contentconsumption can also be tracked by week day or weekend, and/or on anapplication-by application basis. Content consumption can also betracked for type of content, for example, whether the content is video,audio, mixed media, multimedia, text, gaming related content, news,feeds, content from email, browsed content, streamed content, etc. Inprocess 2508, timing parameters related to the content consumption aredetermined. For example, each of the above tracked statistics caninclude a timing parameter, or a period of time within which thestatistics is computed. In process 2510, content consumption tracked onan application by application basis is determined. In one embodiment,each of the above tracked statistics can be tracked on an application byapplication basis.

FIG. 11 depicts a flow chart illustrating an example process forcollecting information about a request and the associated response toidentify cacheability and caching the response.

In process 1102, information about a request and information about theresponse received for the request is collected. In processes 1104 and1106, information about the request initiated at the mobile device andinformation about the response received for the request are used inaggregate or independently to determine cacheability at step 1108. Thedetails of the steps for using request and response information forassessing cacheability are illustrated at flow A as further described inthe example of FIG. 12.

In step 1108, if based on flow A it is determined that the response isnot cacheable, then the response is not cached in step 1110, and theflow can optionally restart at 1102 to collect information about arequest or response to again assess cacheability.

In step 1108, if it is determined from flow A that the response iscacheable, then in 1112 the response can be stored in the cache as acache entry including metadata having additional information regardingcaching of the response. The cached entry, in addition to the response,includes metadata having additional information regarding caching of theresponse. The metadata can include timing data including, for example,access time of the cache entry or creation time of the cache entry.

After the response is stored in the cache, a parallel process can occurto determine whether the response stored in the cache needs to beupdated in process 1120. If so, the response stored in the cache of themobile device is invalided or removed from the cache of the mobiledevice, in process 1122. For example, relevance or validity of theresponse can be verified periodically by polling a host server to whichthe request is directed on behalf of the mobile device. The host servercan be polled at a rate determined at the mobile device using requestinformation collected for the request for which the response is cached.The rate is determined from averages of time intervals between previousrequests generated by the same client which generated the request.

The verifying can be performed by an entity that is physically distinctfrom the mobile device. In one embodiment, the entity is a proxy servercoupled to the mobile device and able to communicate wirelessly with themobile device and the proxy server polls a host server to which therequest is directed at the rate determined at the mobile device based ontiming intervals between previous requests generated by the same clientwhich generated the request.

In process 1114, a subsequent request for the same client or applicationis detected. In process 1116, cache look-up in the local cache isperformed to identify the cache entry to be used in responding to thesubsequent request. In one embodiment, the metadata is used to determinewhether the response stored as the cached entry is used to satisfy thesubsequent response. In process 1118, the response can be served fromthe cache to satisfy a subsequent request. The response can be served inresponse to identifying a matching cache entry for the subsequentrequest determined at least in part using the metadata.

FIG. 12 depicts a flow chart illustrating an example process for adecision flow to determine whether a response to a request can becached.

Process 1202 determines if the request is directed to a blacklisteddestination. If so, the response is not cached, in step 1285. If ablacklisted destination is detected, or if the request itself isassociated with a blacklisted application, the remainder of the analysisshown in the figure may not be performed. The process can continue tosteps 1204 and 1206 if the request and its destination are notblacklisted.

In process 1204, request characteristics information associated with therequest is analyzed. In analyzing the request, in process 1208, therequest method is identified and in step 1214, it is determined whetherthe response can be cached based on the request method. If anuncacheable request is detected, the request is not cached and theprocess may terminate at process 1285. If the request method isdetermined to be cacheable, or not uncacheable, then the response can beidentified as cacheable or potentially cacheable (e.g., cacheable butsubject to the other tests and analysis shown in the figure) at step1295.

In process 1210, the size of the request is determined. In process 1216,it is determined whether the request size exceeds a cacheable size. Ifso, the response is not cached and the analysis may terminate here atprocess 1285. If the request size does not exceed a cacheable size instep 1216, then the response can be identified as cacheable orpotentially cacheable (e.g., cacheable but subject to the other testsand analysis shown in the figure) at step 1295.

In step 1212, the periodicity information between the request and otherrequests generated by the same client is determined. In step 1218, it isdetermined whether periodicity has been identified. If not, the responseis not cached and the analysis may terminate here at process 1285. Ifso, then the response can be identified as cacheable or potentiallycacheable (e.g., cacheable but subject to the other tests and analysisshown in the figure) at step 1295. In process 1206, the requestcharacteristics information associated with the response received forthe request is analyzed. In process 1220, the status code is identifiedand determined whether the status code indicates a cacheable responsestatus code in process 1228. If an uncacheable status code is detected,the request is not cached and the process may terminate at process 1285.If the response status code indicates cacheability, or not uncacheable,then the response can be identified as cacheable or potentiallycacheable (e.g., cacheable but subject to the other tests and analysisshown in the figure) at step 1295.

In process 1222, the size of the response is determined. In process1230, it is determined whether the response size exceeds a cacheablesize. If so, the response is not cached and the analysis may terminatehere at process 1285. If the response size does not exceed a cacheablesize in step 1230, then the response can be identified as cacheable orpotentially cacheable (e.g., cacheable but subject to the other testsand analysis shown in the figure) at step 1295.

In process 1224, the response body is analyzed. In process 1232, it isdetermined whether the response contains dynamic content or highlydynamic content. Dynamic content includes data that changes with a highfrequency and/or has a short time to live or short time of relevance dueto the inherence nature of the data (e.g., stock quotes, sports scoresof fast pace sporting events, etc.). If so, the response is not cachedand the analysis may terminate here at process 1285. If not, then theresponse can be identified as cacheable or potentially cacheable (e.g.,cacheable but subject to the other tests and analysis shown in thefigure) at step 1295.

Process 1226 determines whether transfer encoding or chunked transferencoding is used in the response. If so, the response is not cached andthe analysis may terminate here at process 1285. If not, then theresponse can be identified as cacheable or potentially cacheable (e.g.,cacheable but subject to the other tests and analysis shown in thefigure) at step 1295.

Not all of the tests described above need to be performed to determinedwhether a response is cached. Additional tests not shown may also beperformed. Note that any of the tests 1208, 1210, 1212, 1220, 1222,1224, and 1226 can be performed, singly or in any combination todetermine cacheability. In some instances, all of the above tests areperformed. In some instances, all tests performed (any number of theabove tests that are actually performed) need to confirm cacheabilityfor the response to be determined to be cacheable. In other words, insome cases, if any one of the above tests indicate non-cacheability, theresponse is not cached, regardless of the results of the other tests. Inother cases, different criteria can be used to determine which tests orhow many tests need to pass for the system to decide to cache a givenresponse, based on the combination of request characteristics andresponse characteristics.

FIG. 13 depicts a flow chart illustrating an example process fordetermining potential for cacheability based on request periodicityand/or response repeatability.

In process 1302, requests generated by the client are tracked to detectperiodicity of the requests. In process 1306, it is determined whetherthere are predictable patterns in the timing of the requests. If so, theresponse content may be cached in process 1395. If not, in process 1308it is determined whether the request intervals fall within a tolerancelevel. If so, the response content may be cached in process 1395. Ifnot, the response is not cached in process 1385.

In process 1304, responses received for requests generated by the clientare tracked to detect repeatability in content of the responses. Inprocess 1310, hash values of response bodies of the responses receivedfor the client are examined and in process 1312 the status codesassociated with the responses are examined. In process 1314, it isdetermined whether there is similarity in the content of at least two ofthe responses using hash values and/or the status codes. If so, theresponse may be cached in process 1395. If not, the response is notcached in 1385.

FIG. 14 depicts a flow chart illustrating an example process fordynamically adjusting caching parameters for a given request or client.

In process 1402, requests generated by a client or directed to a hostare tracked at the mobile device to detect periodicity of the requests.Process 1404 determines if the request intervals between the two or morerequests are the same or approximately the same. In process 1406, it isdetermined that the request intervals between the two or more requestsfall within the tolerance level. Based on the results of steps 1404 and1406, the response for the requests for which periodicity is detected isreceived in process 1408. In process 1412, a response is cached as acache entry in a cache of the mobile device. In process 1414, the hostis monitored at a rate to verify relevance or validity of the cacheentry, and simultaneously, in process 1416, the response can be servedfrom the cache to satisfy a subsequent request.

In process 1410, a rate to monitor a host is determined from the requestinterval, using, for example, the results of processes 1404 and/or 1406.In process 1420, the rate at which the given host is monitored is set toverify relevance or validity of the cache entry for the requests. Inprocess 1422, a change in request intervals for requests generated bythe client is detected. In process 1424, a different rate is computedbased on the change in request intervals. The rate at which the givenhost is monitored to verify relevance or validity of the cache entry forthe requests is updated in step 1420.

FIG. 15 depicts a flow chart illustrating example processes forapplication and/or traffic (data) categorization while factoring in useractivity and expectations for implementation of network access andcontent delivery policies.

In process 1502, a system or server detects that new or changed data isavailable to be sent to a mobile device. The data, new, changed, orupdated, can include one or more of, IM presence updates, stock tickerupdates, weather updates, mail, text messages, news feeds, friend feeds,blog entries, articles, documents, any multimedia content (e.g., images,audio, photographs, video, etc.), or any others that can be sent overHTTP or wireless broadband networks, either to be consumed by a user orfor use in maintaining operation of an end device or application.

In process 1504, the application to which the new or changed data isdirected is identified. In process 1506, the application is categorizedbased on the application. In process 1508, the priority or timecriticality of the new or changed data is determined. In process 1510,the data is categorized. Based on the information determined from theapplication and/or priority/time-sensitivity of the relevant data, anyor all of a series of evaluations can be performed to categorize thetraffic and/or to formulate a policy for delivery and/or powering on themobile device radio.

For example, using the identified application information, in process1512, it is determined whether the application is in an active stateinteracting with a user on a mobile device. In process 1514, it isdetermined if the application is running in the foreground on the mobiledevice.

If the answer is ‘Yes’ to any number of the test of processes 1512 or1514, the system or server can then determine that the new or changeddata is to be sent to the mobile device in step 1526, and sent withoutdelay. Alternatively, the process can continue at flow ‘C’ where thetiming, along with other transmission parameters such as networkconfiguration, can be selected, as further illustrated in the example ofFIG. 31. If the answer is ‘No’ to the tests of 1512 or 1514, the othertest can be performed in any order. As long as one of the tests 1512 or1514 is ‘Yes,’ then the system or server having the data can proceed tostep 1526 and/or flow ‘C.’

If the answer is ‘No’ to the tests 1512 and 1514 based on theapplication or application characteristics, then the process can proceedto step 1524, where the sending of the new or changed data issuppressed, at least on a temporary basis. The process can continue inflow ‘A’ for example steps for further determining the timing of when tosend the data to optimize network use and/or device power consumption.

Similarly, in process 1516, it is determined whether the application isrunning in the background. If so, the process can proceed to step 1524where the sending of the new or changed data is suppressed. However,even if the application is in the background state, any of the remainingtests can be performed. For example, even if an application is in thebackground state, new or changed data may still be sent if of a highpriority or is time critical.

Using the priority or time sensitivity information, in process 1518, itis determined whether the data is of high priority 1518. In process1520, it is determined whether the data is time critical. In process1522, it is determined whether a user is waiting for a response thatwould be provided in the available data.

If the answer is ‘Yes’ to any number of the test of processes 1518,1520, or 1522, the system or server can then determine that the new orchanged data is to be sent to the mobile device in step 1526, and sentwithout delay. Alternatively, the process can continue at flow ‘C’ wherethe timing, along with other transmission parameters such as a networkconfiguration, can be selected. If the answer is ‘No’ to any of thesetests, the other test can be performed in any order. As long as one ofthe tests 1518, 1520, or 1522 is ‘Yes,’ then the system or server havingthe data can proceed to step 1526 and/or flow ‘C.’

If the answer is ‘No’ to one or more of the tests 1518, 1520, or 1522,then the process can proceed to step 1524, where the sending of the newor changed data is suppressed, at least on a temporary basis. Theprocess can continue in flow ‘A’ for example steps for furtherdetermining the timing of when to send the data to optimize network useand/or device power consumption. The process can continue to step 1524with or without the other tests being performed if one of the testsyields a ‘No’ response.

The determined application category in step 1504 can be used in lieu ofor in conjunction with the determined data categories in step 1510. Forexample, the new or changed data that is of a high priority or is timecritical can be sent at step 1526 even if the application in theforeground state but not actively interacting with the user on themobile device or if the application is not in the foreground, or in thebackground.

Similarly, even if the user is not waiting for a response which would beprovided in the new or change data (in step 1522), the data can be sentto the mobile device 1526 if the application is in the foreground, or ifthe data is of high priority or contains time critical content.

In general, the suppression can be performed at the content source(e.g., originating server/content host of the new or changed data), orat a proxy server. For example, the proxy server may be remote from therecipient mobile device (e.g., able to wirelessly connect to thereceiving mobile device). The proxy server may also be remote from theoriginating server/content host. Specifically, the logic andintelligence in determining whether the data is to be sent or suppressedcan exist on the same server or be the same entity as the originator ofthe data to be sent or partially or wholly remote from it (e.g., theproxy is able to communicate with the content originating server).

In one embodiment, the waiting to transfer the data is managed by alocal proxy on the mobile device which is able to wirelessly communicatewith a recipient server (e.g., the host server for the mobileapplication or client). The local proxy on the mobile device can controlthe radio use on the mobile device for transfer of the data when thetime period has elapsed, or when additional data to be sent is detected.

FIG. 16A depicts a flow chart illustrating example processes forhandling traffic which is to be suppressed at least temporarilydetermined from application/traffic categorization.

For example, in process 1602, a time period is elapsed before the new orchange data is transmitted in step 1606. This can be performed if thedata is of low priority or is not time critical, or otherwise determinedto be suppressed for sending (e.g., as determined in the flow chart ofFIG. 15). The time period can be set by the application, the user, athird party, and/or take upon a default value. The time period may alsobe adapted over time for specific types of applications or real-timenetwork operating conditions. If the new or changed data to be sent isoriginating from a mobile device, the waiting to transfer of the datauntil a time period has elapsed can be managed by a local proxy on themobile device, which can communicate with the host server. The localproxy can also enable or allow the use radio use on the mobile devicefor transfer of the data when the time period has elapsed.

In some instances, the new or changed data is transmitted in 1606 whenthere is additional data to be sent, in process 1604. If the new orchanged data to be sent is originating from a mobile device, the waitingto transfer of the data until there is additional data to be sent, canbe managed by a local proxy on the mobile device, which can communicatewith the host server. The local proxy can also enable or allow the useradio use on the mobile device for transfer of the data when there isadditional data to be sent, such that device resources can be conserved.Note that the additional data may originate from the same mobileapplication/client or a different application/client. The additionaldata may include content of higher priority or is time critical. Theadditional data may also be of same or lower priority. In someinstances, a certain number of non priority, or non time-sensitiveevents may trigger a send event.

If the new or changed data to be sent is originating from a server(proxy server or host server of the content), the waiting to transfer ofthe data until a time period has elapsed or waiting for additional datato be sent, can be managed by the proxy server which can wirelesslycommunicate with the mobile device. In general, the proxy server waitsuntil additional data is available for the same mobile device beforesending the data together in a single transaction to minimize the numberof power-ons of device battery and to optimize network use.

FIG. 16B depicts a flow chart illustrating an example process forselection of a network configuration for use in sending traffic based onapplication and/or traffic (data) categorization.

In process 1608, an activity state of an application on the mobiledevice is detected for which traffic is directed to or originated fromis detected. In parallel or in lieu of activity state, a timecriticality of data contained in the traffic to be sent between themobile device and the host server can be determined, in process 1610.The activity state can be determined in part or in while, by whether theapplication is in a foreground or background state on the mobile device.The activity state can also be determined by whether a user isinteracting with the application.

Using activity state and/or data characteristics, when it has determinedfrom that the data is to be sent to the mobile device in step 1612 ofFIG. 15, the process can continue to step 3006 for network configurationselection.

For example, in process 1614, a generation of wireless standard isselected. The generation of wireless standard which can be selectedincludes 2G or 2.5G, 3G, 3.5G, 3G+, 3GPP, LTE, or 4G, or any otherfuture generations. For example, slower or older generation of wirelessstandards can be specified for less critical transactions or trafficcontaining less critical data. For example, older standards such as 2G,2.5G, or 3G can be selected for routing traffic when one or more of thefollowing is detected, the application is not interacting with the user,the application is running in the background on the mobile device, orthe data contained in the traffic is not time critical. Newergenerations such as can be specified for higher priority traffic ortransactions. For example, newer generations such as 3G, LTE, or 4G canbe specified for traffic when the activity state is in interaction witha user or in a foreground on the mobile device.

In process 1616, the access channel type can be selected. For example,forward access channel (FACH) or the dedicated channel (DCH) can bespecified. In process 1618, a network configuration is selected based ondata rate or data rate capabilities. For example, a networkconfiguration with a slower data rate can be specified for traffic whenone or more of the following is detected, the application is notinteracting with the user, the application is running in the backgroundon the mobile device, or the data contained in the traffic is not timecritical

In process 1620, a network configuration is selected by specifyingaccess points. Any or all of the steps 1614, 1616, 1618, and 1620 can beperformed or in any combination in specifying network configurations.

FIG. 16C depicts a flow chart illustrating an example process forimplementing network access and content delivery policies based onapplication and/or traffic (data) categorization.

In process 1634, an activity state of an application on a mobile deviceto which traffic is originated from or directed to is detected. Forexample, the activity state can be determined by whether the applicationis in a foreground or background state on the mobile device. Theactivity state can also be determined by whether a user is expectingdata contained in the traffic directed to the mobile device.

In process 1636, a time criticality of data contained in the traffic tobe sent between the mobile device and the host server is detected. Forexample, when the data is not time critical, the timing with which toallow the traffic to pass through can be set based on when additionaldata needs to be sent. Therefore, the traffic can be batched with theother data so as to conserve network and/or device resources.

The application state and/or data characteristics can be used forapplication categorization and/or data categorization to determinewhether the traffic resulting therefrom is to be sent to the mobiledevice or suppressed at least on a temporary basis before sending, asillustrated in the flow chart shown in the example of FIG. 15.

Continuing at flow C after a determination has been made to send thetraffic, the parameters relating to how and when the traffic is to besent can be determined. For example, in process 1638, a timing withwhich to allow the traffic to pass through, is determined based on theactivity state or the time criticality.

In process 1640, radio use on the mobile device is controlled based onthe timing with which the traffic is allowed to pass through. Forexample, for traffic initiated from the mobile device, a local proxy canresiding on the mobile device can control whether the radio is to beturned on for a transaction, and if so, when it is to be turned on,based on transaction characteristics determined from application state,or data priority/time-sensitivity.

In process 1642, a network configuration in the wireless network isselected for use in passing traffic to and/or from the mobile device.For example, a higher capacity or data rate network (e.g., 3G, 3G+,3.5G, LTE, or 4G networks) can be selected for passing through trafficwhen the application is active or when the data contained in the trafficis time critical or is otherwise of a higher priority/importance.

FIG. 17 depicts a flow chart illustrating an example process for networkselection based on mobile user activity or user expectations.

In process 1702, the backlight status of a mobile device is detected.The backlight status can be used to determine or infer informationregarding user activity and/or user expectations. For example, inprocess 1704, user interaction with an application on a mobile device isdetected and/or in process 1706, it is determined that a user isexpecting data contained in traffic directed to the mobile device, ifthe backlight is on.

The user interaction 1704 and/or user expectation 1706 can be determinedor inferred via other direct or indirect cues. For example, devicemotion sensor, ambient light, data activity, detection of radio activityand patterns, call processing, etc. can be used alone or in combinationto make an assessment regarding user activity, interaction, orexpectations.

In process 1708, an activity state of an application on the mobiledevice for which traffic is originated from or directed to, isdetermined. In one embodiment, the activity state of the application isdetermined by user interaction with the application on the mobile deviceand/or by whether a user is expecting data contained in the trafficdirected to the mobile device.

In process 1710, 3G, 4G, or LTE network is selected for use in sendingtraffic between a mobile device and a host server in the wirelessnetwork. Other network configurations or technologies can be selected aswell, including but not limited to 2.5G GSM/GPRS networks, EDGE/EGPRS,3.5G, 3G+, turbo 3G, HSDPA, etc. For example, a higher bandwidth orhigher capacity network can be selected when user interaction isdetected with an application requesting to access the network.Similarly, if it can be determined or inferred with some certainty thatthe user may be expecting data contained in traffic requesting networkaccess, a higher capacity or higher data rate network may be selected aswell.

The activity state can also be determined by whether data contained inthe traffic directed to the mobile device responds to foregroundactivities in the application. For applications which are in theforeground, a higher capacity (e.g., 3.5G, 4G, or LTE) network may beselected for use in carrying out the transaction.

The activity state can be determined via device parameters such as thebacklight status of the mobile device or any other software or hardwarebased device sensors including but not limited to, resistive sensors,capacitive sensors, light detectors, motion sensors, proximity sensors,touch screen sensors, etc. The network configuration which is selectedfor use can be further based on a time criticality and/or priority ofdata contained in the traffic to be sent between the mobile device andthe host server.

FIG. 18 shows a diagrammatic representation of a machine in the exampleform of a computer system within which a set of instructions, forcausing the machine to perform any one or more of the methodologiesdiscussed herein, may be executed.

In alternative embodiments, the machine operates as a standalone deviceor may be connected (e.g., networked) to other machines. In a networkeddeployment, the machine may operate in the capacity of a server or aclient machine in a client-server network environment, or as a peermachine in a peer-to-peer (or distributed) network environment.

The machine may be a server computer, a client computer, a personalcomputer (PC), a user device, a tablet PC, a laptop computer, a set-topbox (STB), a personal digital assistant (PDA), a cellular telephone, aniPhone, an iPad, a Blackberry, a processor, a telephone, a webappliance, a network router, switch or bridge, a console, a hand-heldconsole, a (hand-held) gaming device, a music player, any portable,mobile, hand-held device, or any machine capable of executing a set ofinstructions (sequential or otherwise) that specify actions to be takenby that machine.

While the machine-readable medium or machine-readable storage medium isshown in an exemplary embodiment to be a single medium, the term“machine-readable medium” and “machine-readable storage medium” shouldbe taken to include a single medium or multiple media (e.g., acentralized or distributed database and/or associated caches andservers) that store the one or more sets of instructions. The term“machine-readable medium” and “machine-readable storage medium” shallalso be taken to include any medium that is capable of storing, encodingor carrying a set of instructions for execution by the machine and thatcause the machine to perform any one or more of the methodologies of thepresently disclosed technique and innovation.

In general, the routines executed to implement the embodiments of thedisclosure may be implemented as part of an operating system or aspecific application, component, program, object, module or sequence ofinstructions referred to as “computer programs.” The computer programstypically comprise one or more instructions set at various times invarious memory and storage devices in a computer that, when read andexecuted by one or more processing units or processors in a computer,cause the computer to perform operations to execute elements involvingthe various aspects of the disclosure.

Moreover, while embodiments have been described in the context of fullyfunctioning computers and computer systems, those skilled in the artwill appreciate that the various embodiments are capable of beingdistributed as a program product in a variety of forms, and that thedisclosure applies equally regardless of the particular type of machineor computer-readable media used to actually effect the distribution.

Further examples of machine-readable storage media, machine-readablemedia, or computer-readable (storage) media include but are not limitedto recordable type media such as volatile and non-volatile memorydevices, floppy and other removable disks, hard disk drives, opticaldisks (e.g., Compact Disk Read-Only Memory (CD ROMS), Digital VersatileDisks, (DVDs), etc.), among others, and transmission type media such asdigital and analog communication links.

Unless the context clearly requires otherwise, throughout thedescription and the claims, the words “comprise,” “comprising,” and thelike are to be construed in an inclusive sense, as opposed to anexclusive or exhaustive sense; that is to say, in the sense of“including, but not limited to.” As used herein, the terms “connected,”“coupled,” or any variant thereof, means any connection or coupling,either direct or indirect, between two or more elements; the coupling ofconnection between the elements can be physical, logical, or acombination thereof. Additionally, the words “herein,” “above,” “below,”and words of similar import, when used in this application, shall referto this application as a whole and not to any particular portions ofthis application. Where the context permits, words in the above DetailedDescription using the singular or plural number may also include theplural or singular number respectively. The word “or,” in reference to alist of two or more items, covers all of the following interpretationsof the word: any of the items in the list, all of the items in the list,and any combination of the items in the list.

The above detailed description of embodiments of the disclosure is notintended to be exhaustive or to limit the teachings to the precise formdisclosed above. While specific embodiments of, and examples for, thedisclosure are described above for illustrative purposes, variousequivalent modifications are possible within the scope of thedisclosure, as those skilled in the relevant art will recognize. Forexample, while processes or blocks are presented in a given order,alternative embodiments may perform routines having steps, or employsystems having blocks, in a different order, and some processes orblocks may be deleted, moved, added, subdivided, combined, and/ormodified to provide alternative or sub-combinations. Each of theseprocesses or blocks may be implemented in a variety of different ways.Also, while processes or blocks are at times shown as being performed inseries, these processes or blocks may instead be performed in parallel,or may be performed at different times. Further any specific numbersnoted herein are only examples: alternative implementations may employdiffering values or ranges.

The teachings of the disclosure provided herein can be applied to othersystems, not necessarily the system described above. The elements andacts of the various embodiments described above can be combined toprovide further embodiments.

Any patents and applications and other references noted above, includingany that may be listed in accompanying filing papers, are incorporatedherein by reference. Aspects of the disclosure can be modified, ifnecessary, to employ the systems, functions, and concepts of the variousreferences described above to provide yet further embodiments of thedisclosure.

These and other changes can be made to the disclosure in light of theabove Detailed Description. While the above description describescertain embodiments of the disclosure, and describes the best modecontemplated, no matter how detailed the above appears in text, theteachings can be practiced in many ways. Details of the system may varyconsiderably in its implementation details, while still beingencompassed by the subject matter disclosed herein. As noted above,particular terminology used when describing certain features or aspectsof the disclosure should not be taken to imply that the terminology isbeing redefined herein to be restricted to any specific characteristics,features, or aspects of the disclosure with which that terminology isassociated. In general, the terms used in the following claims shouldnot be construed to limit the disclosure to the specific embodimentsdisclosed in the specification, unless the above Detailed Descriptionsection explicitly defines such terms. Accordingly, the actual scope ofthe disclosure encompasses not only the disclosed embodiments, but alsoall equivalent ways of practicing or implementing the disclosure underthe claims.

While certain aspects of the disclosure are presented below in certainclaim forms, the inventors contemplate the various aspects of thedisclosure in any number of claim forms. For example, while only oneaspect of the disclosure is recited as a means-plus-function claim under35 U.S.C. §112, ¶16, other aspects may likewise be embodied as ameans-plus-function claim, or in other forms, such as being embodied ina computer-readable medium. (Any claims intended to be treated under 35U.S.C. §112, ¶16 will begin with the words “means for.”) Accordingly,the applicant reserves the right to add additional claims after filingthe application to pursue such additional claim forms for other aspectsof the disclosure.

1. A method of user behavior based resource allocation in a wirelessnetwork, the method, comprising: tracking user behavior with respect tomobile usage for a user requesting, with a mobile device, content from aresource; predicting a need or lack of or reduced need for bandwidth ofthe mobile device based on the tracked user behavior; controlling theresource allocated to the user in the wireless network based on the userbehavior with respect to the mobile usage via dynamic bandwidthadjustment based on the predicted need.
 2. The method of claim 1,wherein, the user behavior with respect to mobile usage includes userbehavior relating to browsing activities with respect to differentbrowsers, different websites, and inferred or explicitly specified userinterest.
 3. The method of claim 1, wherein, the user behavior withrespect to mobile usage includes user behavior relating to streamingactivities with respect to different streaming applications, differentstreaming sites, different streamed content, inferred or explicitlyspecified user interest, and respect to an event being streamed.
 4. Themethod of claim 1, further comprising, recording the user behavior andstoring characteristics or patterns of the user behavior in a userbehavior profile for the user; wherein, the resource is allocated to theuser for subsequent sessions of mobile usage, regardless of whether thesubsequent sessions occur on a same device as when the user behavior wastracked for the user.
 5. The method of claim 1, wherein, a user behaviorprofile for the user is used for resource allocation in the wirelessnetwork across multiple devices used by the user; wherein, the resourceallocated to the user is controlled by allocated bandwidth in thewireless network or by throttling radio power states of a mobile devicewhich the user uses.
 6. The method of claim 1, further comprising,increasing the resource allocated to the user in the wireless networkresponsive to detecting a subsequent session of mobile usagecorresponding to a need for higher bandwidth or radio power asdetermined from the user behavior that was tracked or decreasing theresource allocated to the user in the wireless network responsive todetecting a subsequent session of mobile usage corresponding to a lackof need for bandwidth or radio power as determined from the userbehavior that was tracked or a subsequent session of no predicted mobileusage or little predicted mobile usage as determined form the userbehavior that was tracked.
 7. The method of claim 6, wherein, the needfor higher bandwidth or radio power is determined from the user behaviorindicating one or more of, frequent access mobile applications, frequentor lengthy consumption of streaming content.
 8. The method of claim 1,wherein, the user behavior is tracked or analyzed based on timingcharacteristics including time or day or day of week; or wherein, theuser behavior is tracked or analyzed on a device by device basis for theuser.
 9. The method of claim 1, wherein, the controlling of the resourceallocated to the user is facilitated by a proxy server remote from amobile device on which the user behavior is tracked.
 10. The method ofclaim 9, wherein, the proxy server is a component of a network operatorof the wireless network or the proxy server is distinct from a componentof a network operator of the wireless network and in communication withthe network operator to facilitate control of the resource allocated tothe user.
 11. A method of content consumption based resource allocationto a user in a wireless network, the method, comprising: trackingcontent consumption in sessions of mobile usage; aggregating orcomputing statistical data related to the content consumption in thesessions of the mobile usage; predicting a need or lack of or reducedneed for bandwidth of the mobile device based on the statistical data;facilitating control of the resource allocated to the user in thewireless network based on the statistical data of the contentconsumption of the user's mobile usage and the predicted need; wherein,the sessions of mobile usage for the user are tracked across multiplemobile devices.
 12. The method of claim 11, wherein, the sessions of themobile usage for the user are tracked across multiple mobile devices bya proxy server remote from the multiple mobile devices, wherein, theproxy server further aggregates and computes the statistical datarelated to the content consumption of the user.
 13. The method of claim11, wherein, the statistical data includes, one or more of, frequency ofthe content consumption, amount of the content consumption, and timingparameters related to the content consumption.
 14. A mobile device whichthrottles radio use based on user habit, the mobile device, comprising:a radio; a processing unit; a memory unit having instructions storedthereon which when executed by the processing unit, causes the mobiledevice to: monitor behavior with respect to usage of the mobile devicerequesting content from a resource; wherein a need or lack or reducedneed for bandwidth of the mobile device is predicted based on themonitored behavior; adjusting one or more characteristics based on thepredicted need.
 15. The mobile device of claim 14, wherein, the radio isthrottled among three power states when connected to a 3G wirelessnetwork; wherein, the radio is throttled among two power states whenconnected to a 4G or LTE network; wherein, the mobile usage sessions aretracked for the user across multiple other devices by a proxy servercoupled the mobile device.
 16. The mobile device of claim 14, wherein,the user habit with respect to mobile usage relating to browsingactivity includes user behavior with respect to different browsers, oruser behavior with respect to different websites.
 17. A system ofcontent consumption based resource allocation to a user in a wirelessnetwork, the system, comprising: a proxy server in the wireless network;wherein, the proxy server: aggregates or computes statistical datarelated to the content consumption in mobile usage sessions; predicts aneed or lack of or reduced need for bandwidth of the mobile device basedon the statistical data; facilitates control of the resource allocatedto the multiple users in the wireless network based on the statisticaldata of the content consumption of the user's mobile usage and thepredicted need; wherein, the statistical data includes, one or more of,frequency of the content consumption, amount of the content consumption,and timing parameters related to the content consumption.
 18. The systemof claim 17, wherein, the content consumption of each of the multipleusers is tracked by a local proxy residing on a respective mobile deviceof each of the multiple users; wherein, the local proxy is coupled tothe proxy server in the wireless network and communicates data relatingto the content consumption to the proxy server.
 19. The system of claim17, wherein, the content consumption of the mobile usage relating tobrowsing activity includes content consumption with respect to sitetopic based on inferred or explicitly specified user interest.
 20. Thesystem of claim 17, wherein, the content consumption of the mobile usagerelating to streaming activity includes content consumption with respectto different streaming sites.
 21. The system of claim 17, wherein, thecontent consumption of the mobile usage relating to streaming activityincludes content consumption with respect to different streamed contenttype or with respect to an event being streamed.
 22. The system of claim17, wherein, the proxy server facilitates increase of the resourceallocated to a given user in the wireless network responsive todetecting a subsequent session of mobile usage of the given user whichcorresponding to a need for higher bandwidth as determined from thestatistical data of the content consumption computed for the given user.23. The system of claim 17, wherein, the proxy server is a component ofa network operator of the wireless network.
 24. The system of claim 17,wherein, the proxy server is distinct from a component of a networkoperator of the wireless network and in communication with the networkoperator to facilitate control of the resource allocated to the user.